{"schemaVersion":"hugging-bay.artifact-card.v1","pageFacts":{"id":"hf-model-coderancer-movie-recommender-model","repo":"coderancer/movie-recommender-model","type":"embedding","purpose":"embedding model for sentence similarity and retrieval","license":{"id":"apache-2.0","label":"apache-2.0","state":"known","url":"https://spdx.org/licenses/Apache-2.0.html","source":"spdx","hostedFile":false,"commercialUse":"yes","terms":"Permissive open license: commercial use, modification, and redistribution are permitted."},"task":{"id":"sentence-similarity","label":"sentence similarity and retrieval"},"size":{"bytes":91823013,"label":"91.8 MB","known":true,"repositoryLabel":"Full repo upstream","hostedKnown":false,"hostedBytes":0,"hostedLabel":"size unknown","hostedSummary":"full count and size unknown","hostedIsSubset":false,"downloadBytes":0,"downloadLabel":"","recommended":{"path":"model.safetensors","fileName":"model.safetensors","fileCount":1,"quant":"","bytes":90864192,"label":"90.9 MB","variants":1,"basis":"only-variant"},"parameters":null,"sentence":"Hosted here: full count and size unknown. Full repo upstream: 91.8 MB. The recommended download, model.safetensors, is 90.9 MB."},"files":{"hosted":0,"total":11,"label":"11 listed, none hosted here"},"download":{"status":"external","label":"Not hosted here; download from Hugging Face","url":"https://huggingface.co/coderancer/movie-recommender-model"},"released":{"iso":"2026-09-23","label":"Sep 23, 2026","upstream":false,"factLabel":"Added to Hugging Bay"},"updated":{"iso":"2026-09-23","label":"Sep 23, 2026","factLabel":"Updated at source"},"source":{"provider":"huggingface","label":"Hugging Face","url":"https://huggingface.co/coderancer/movie-recommender-model","repoId":"coderancer/movie-recommender-model"},"languages":["en"],"baseModel":{"ref":"","url":"","resolveUrl":""},"paperIds":["1904.06472","2102.07033","2104.08727","1704.05179","1810.09305"],"arxivIds":["1904.06472","2102.07033","2104.08727","1704.05179","1810.09305"],"sameAs":["https://huggingface.co/coderancer/movie-recommender-model","https://arxiv.org/abs/1904.06472","https://arxiv.org/abs/2102.07033","https://arxiv.org/abs/2104.08727","https://arxiv.org/abs/1704.05179","https://arxiv.org/abs/1810.09305"],"creator":{"@type":"Organization","name":"coderancer","url":"https://huggingface.co/coderancer","sameAs":["https://huggingface.co/coderancer"]},"scholarlyArticles":[{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/1904.06472","identifier":"arXiv:1904.06472","url":"https://arxiv.org/abs/1904.06472","sameAs":"https://doi.org/10.48550/arXiv.1904.06472"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/2102.07033","identifier":"arXiv:2102.07033","url":"https://arxiv.org/abs/2102.07033","sameAs":"https://doi.org/10.48550/arXiv.2102.07033"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/2104.08727","identifier":"arXiv:2104.08727","url":"https://arxiv.org/abs/2104.08727","sameAs":"https://doi.org/10.48550/arXiv.2104.08727"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/1704.05179","identifier":"arXiv:1704.05179","url":"https://arxiv.org/abs/1704.05179","sameAs":"https://doi.org/10.48550/arXiv.1704.05179"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/1810.09305","identifier":"arXiv:1810.09305","url":"https://arxiv.org/abs/1810.09305","sameAs":"https://doi.org/10.48550/arXiv.1810.09305"}],"scanStatus":"passed","faq":[{"id":"what-is-it","question":"What is coderancer/movie-recommender-model?","answer":"coderancer/movie-recommender-model is an embedding model for sentence similarity and retrieval published by coderancer, added to Hugging Bay Sep 23, 2026. Model from Hugging Face for sentence similarity: coderancer/movie-recommender-model · sentence transformers"},{"id":"license","question":"What license does coderancer/movie-recommender-model use, and can I use it commercially?","answer":"It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted."},{"id":"size","question":"How big is coderancer/movie-recommender-model?","answer":"Hosted here: full count and size unknown. Full repo upstream: 91.8 MB. The recommended download, model.safetensors, is 90.9 MB."},{"id":"download","question":"Where can I download coderancer/movie-recommender-model?","answer":"Hugging Bay does not host files for this model. Download it from the original Hugging Face release at https://huggingface.co/coderancer/movie-recommender-model. The record lists 11 files; total repository size: 91.8 MB."},{"id":"safety","question":"File pattern scans","answer":"Automated file-pattern scans flagged nothing; not a safety guarantee. No files are hosted here, so no hosted-file hashes are published. The machine-readable verdict is at /api/artifacts/hf-model-coderancer-movie-recommender-model/safety on Hugging Bay."},{"id":"fit-unknown","question":"Will coderancer/movie-recommender-model run on my computer?","answer":"We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked."}]},"generatedAt":"2026-10-20T22:57:00.629Z","signals":{"size":{"known":true,"bytes":91823013,"label":"87.6 MB","reason":""},"demand":{"mirrorRequests":0,"upstreamDownloads":105,"upstreamStars":0,"label":"105 upstream downloads","basis":"upstream-downloads"},"trust":{"score":0,"level":"metadata-checked","label":"Unknown","qualification":"recorded-state-complete-bytes","trustImpact":"none","checks":[{"id":"license","label":"License","status":"pass","detail":"apache-2.0"},{"id":"provenance","label":"Provenance","status":"pass","detail":"coderancer/movie-recommender-model"},{"id":"scan","label":"Scan","status":"pass","detail":"passed"},{"id":"hosting","label":"Hosted files","status":"warn","detail":"7/11 repository files hosted; selected representation evaluated separately"},{"id":"manifest","label":"Byte manifest integrity","status":"pass","detail":"selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)"}],"strengths":["License: apache-2.0","Provenance: coderancer/movie-recommender-model","Scan: passed","Byte manifest integrity: selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)"],"gaps":["Hosted files: 7/11 repository files hosted; selected representation evaluated separately"]},"readiness":{"score":0,"level":"unknown","hostedFinal":true,"hostedFiles":7,"externalFiles":4,"totalFiles":11},"action":{"id":"request-mirror","label":"Request a complete representation","detail":"Capture demand for a reviewed, immutable representation with complete selected bytes.","href":"/artifact/hf-model-coderancer-movie-recommender-model/mirrors"}},"structuredData":{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://huggingbay.xyz/#organization","name":"Hugging Bay","url":"https://huggingbay.xyz"},{"@type":"WebSite","@id":"https://huggingbay.xyz/#website","url":"https://huggingbay.xyz","name":"Hugging Bay","description":"Open-model discovery with hosted-file inventory, hashes, source details and agent-readable catalog APIs.","publisher":{"@id":"https://huggingbay.xyz/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://huggingbay.xyz/browse?q={search_term_string}"},"query-input":"required name=search_term_string"}},{"@type":"ItemPage","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#webpage","url":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model","name":"coderancer/movie-recommender-model | Hugging Bay","description":"External Hugging Face catalog record for coderancer/movie-recommender-model. Task: sentence similarity. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq, yahoo_answers_topics, code_search_net. Popularity signal at import: 105 downloads and 0 likes.","image":"https://huggingbay.xyz/brand/harbor-social-card.png","isPartOf":{"@id":"https://huggingbay.xyz/#website"},"mainEntity":{"@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#artifact"}},{"@type":"BreadcrumbList","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#breadcrumbs","itemListElement":[{"@type":"ListItem","position":1,"name":"Hugging Bay","item":"https://huggingbay.xyz/"},{"@type":"ListItem","position":2,"name":"Artifacts","item":"https://huggingbay.xyz/browse"},{"@type":"ListItem","position":3,"name":"coderancer/movie-recommender-model","item":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model"}]},{"@type":["SoftwareApplication","CreativeWork"],"@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#artifact","name":"coderancer/movie-recommender-model","alternateName":"movie-recommender-model","description":"External Hugging Face catalog record for coderancer/movie-recommender-model. Task: sentence similarity. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq, yahoo_answers_topics, code_search_net. Popularity signal at import: 105 downloads and 0 likes.","url":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model","identifier":"hf-model-coderancer-movie-recommender-model","additionalType":"https://huggingbay.xyz/schema/EmbeddingModel","applicationCategory":"AI model artifact","applicationSubCategory":"sentence-similarity","license":"https://spdx.org/licenses/Apache-2.0.html","keywords":"embedding, sentence-similarity, text, sentence-transformers, gitattributes, json, md, safetensors, txt, huggingface-import, external-catalog, model, apache-2.0, sentence-transformers, safetensors, bert, feature-extraction, sentence-similarity, transformers, en, dataset:s2orc, dataset:flax-sentence-embeddings/stackexchange_xml, dataset:ms_marco, dataset:gooaq, dataset:yahoo_answers_topics, dataset:code_search_net, dataset:search_qa, dataset:eli5, dataset:snli, dataset:multi_nli, dataset:wikihow, dataset:natural_questions, dataset:trivia_qa","datePublished":"2026-09-23","dateModified":"2026-09-23","inLanguage":["en"],"creator":{"@type":"Organization","name":"coderancer"},"publisher":{"@type":"Organization","name":"coderancer","url":"https://huggingface.co/coderancer","sameAs":["https://huggingface.co/coderancer"]},"sameAs":["https://huggingface.co/coderancer/movie-recommender-model","https://arxiv.org/abs/1904.06472","https://arxiv.org/abs/2102.07033","https://arxiv.org/abs/2104.08727","https://arxiv.org/abs/1704.05179","https://arxiv.org/abs/1810.09305"],"isBasedOn":{"@type":"CreativeWork","name":"Original upstream source","url":"https://huggingface.co/coderancer/movie-recommender-model"},"isAccessibleForFree":true,"conditionsOfAccess":"Public metadata is crawlable. Hosted downloads are available only for reviewed mirrored files listed by Hugging Bay manifests and downloadable-file APIs.","citation":[{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/1904.06472","identifier":"arXiv:1904.06472","url":"https://arxiv.org/abs/1904.06472","sameAs":"https://doi.org/10.48550/arXiv.1904.06472"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/2102.07033","identifier":"arXiv:2102.07033","url":"https://arxiv.org/abs/2102.07033","sameAs":"https://doi.org/10.48550/arXiv.2102.07033"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/2104.08727","identifier":"arXiv:2104.08727","url":"https://arxiv.org/abs/2104.08727","sameAs":"https://doi.org/10.48550/arXiv.2104.08727"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/1704.05179","identifier":"arXiv:1704.05179","url":"https://arxiv.org/abs/1704.05179","sameAs":"https://doi.org/10.48550/arXiv.1704.05179"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/1810.09305","identifier":"arXiv:1810.09305","url":"https://arxiv.org/abs/1810.09305","sameAs":"https://doi.org/10.48550/arXiv.1810.09305"},"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/card.md","https://huggingbay.xyz/api/trust-bundles/hf-model-coderancer-movie-recommender-model","https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/distribution"],"softwareVersion":"hf-main","review":[],"subjectOf":[{"@type":"DigitalDocument","name":"Hugging Bay artifact card","url":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/card","encodingFormat":"application/json"},{"@type":"DigitalDocument","name":"Hugging Bay artifact card markdown","url":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/card.md","encodingFormat":"text/markdown"},{"@type":"DigitalDocument","name":"Hugging Bay agent bundle","url":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/agent-bundle","encodingFormat":"application/json"},{"@type":"DigitalDocument","name":"Hugging Bay trust bundle","url":"https://huggingbay.xyz/api/trust-bundles/hf-model-coderancer-movie-recommender-model","encodingFormat":"application/json"},{"@type":"DigitalDocument","name":"Hugging Bay distribution document","url":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/distribution","encodingFormat":"application/json"},{"@type":"DigitalDocument","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#license-provenance-metadata","name":"License and provenance metadata","url":"https://huggingbay.xyz/api/trust-bundles/hf-model-coderancer-movie-recommender-model","description":"coderancer/movie-recommender-model license, provenance, source scan state, and mirror eligibility metadata. recorded selected-byte evidence recorded; public obtain path unavailable."},{"@type":"WebAPI","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#trust-bundle-api","name":"Hugging Bay trust bundle API","url":"https://huggingbay.xyz/api/trust-bundles/hf-model-coderancer-movie-recommender-model","documentation":"https://huggingbay.xyz/api/trust-bundles/hf-model-coderancer-movie-recommender-model","provider":{"@id":"https://huggingbay.xyz/#organization"}},{"@type":"WebAPI","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#review-summary-api","name":"Hugging Bay review summary API","url":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/review-summary","documentation":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/review-summary","provider":{"@id":"https://huggingbay.xyz/#organization"}},{"@type":"WebAPI","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#distribution-api","name":"Hugging Bay distribution API","url":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/distribution","documentation":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/distribution","provider":{"@id":"https://huggingbay.xyz/#organization"}},{"@type":"WebPage","name":"Original upstream source","url":"https://huggingface.co/coderancer/movie-recommender-model"}],"potentialAction":[{"@type":"OrganizeAction","name":"Request a complete representation","target":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model/mirrors"}],"additionalProperty":[{"@type":"PropertyValue","name":"Declared license","value":"apache-2.0"},{"@type":"PropertyValue","name":"Pipeline","value":"sentence-similarity"},{"@type":"PropertyValue","name":"Library","value":"sentence-transformers"},{"@type":"PropertyValue","name":"Task categories","value":"sentence-similarity"},{"@type":"PropertyValue","name":"Languages","value":"en"},{"@type":"PropertyValue","name":"Referenced datasets","value":"s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq, yahoo_answers_topics, code_search_net, search_qa, eli5"},{"@type":"PropertyValue","name":"Paper ids","value":"1904.06472, 2102.07033, 2104.08727, 1704.05179, 1810.09305"},{"@type":"PropertyValue","name":"File hints","value":"12 upstream file samples"},{"@type":"PropertyValue","name":"Hosting status","value":"blocked"},{"@type":"PropertyValue","name":"Hosted files","value":"0"},{"@type":"PropertyValue","name":"Listed files","value":"11"},{"@type":"PropertyValue","name":"Full repo upstream","value":"91.8 MB"},{"@type":"PropertyValue","name":"Full repo upstream in bytes","value":"91823013","unitCode":"AD"},{"@type":"PropertyValue","name":"Recommended file","value":"90.9 MB · model.safetensors"},{"@type":"PropertyValue","name":"Recommended file size","value":"90.9 MB"},{"@type":"PropertyValue","name":"Recommended file size in bytes","value":"90864192","unitCode":"AD"},{"@type":"PropertyValue","name":"License","value":"apache-2.0"},{"@type":"PropertyValue","name":"Upstream downloads","value":"105"},{"@type":"PropertyValue","name":"Scan status","value":"passed"},{"@type":"PropertyValue","name":"Trust score","value":"0"},{"@type":"PropertyValue","name":"Trust level","value":"metadata-checked"},{"@type":"PropertyValue","name":"Verified peer-assisted fallbacks","value":"0"},{"@type":"PropertyValue","name":"Files with reviewed peer-assisted fallbacks","value":"0"},{"@type":"PropertyValue","name":"Reviewed peer fallback file records","value":"0"},{"@type":"PropertyValue","name":"Agent bundle","value":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/agent-bundle"},{"@type":"PropertyValue","name":"Trust bundle","value":"https://huggingbay.xyz/api/trust-bundles/hf-model-coderancer-movie-recommender-model"},{"@type":"PropertyValue","name":"Download completeness state","value":"This description is temporarily unavailable."},{"@type":"PropertyValue","name":"recorded executable state","value":"complete-bytes"},{"@type":"PropertyValue","name":"recorded evidence timestamp","value":"2026-09-23T23:45:08.558Z"},{"@type":"PropertyValue","name":"Selected representation","value":"rep-d87f1ae04a42f051c2e6067df06bc259b5cab6bd4991f603bf4441c10c426f9e"},{"@type":"PropertyValue","name":"Run fit","value":"recorded selected-byte evidence recorded; public obtain path unavailable"},{"@type":"PropertyValue","name":"Runtime footprint","value":"unknown"},{"@type":"PropertyValue","name":"Run-fit warnings","value":"No runtime compatibility or execution status claim is available until recorded evaluation is integrated."}]},{"@type":"FAQPage","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#faq","dateModified":"2026-09-23","mainEntity":[{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#faq-what-is-it","name":"What is this model?","acceptedAnswer":{"@type":"Answer","text":"coderancer/movie-recommender-model is an embedding model for sentence similarity and retrieval published by coderancer, added to Hugging Bay Sep 23, 2026. Model from Hugging Face for sentence similarity: coderancer/movie-recommender-model · sentence transformers"}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#faq-license","name":"Can I use it commercially?","acceptedAnswer":{"@type":"Answer","text":"It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#faq-size","name":"How big is it?","acceptedAnswer":{"@type":"Answer","text":"Hosted here: availability unknown. Full repo upstream: 91.8 MB. The recommended download, model.safetensors, is 90.9 MB."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#faq-download","name":"What can I download here?","acceptedAnswer":{"@type":"Answer","text":"No files are available to download from Hugging Bay right now. The record lists 11 files."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#faq-safety","name":"File pattern scans","acceptedAnswer":{"@type":"Answer","text":"Automated file-pattern scans flagged nothing; not a safety guarantee. No files are hosted here, so no hosted-file hashes are published. The machine-readable verdict is at /api/artifacts/hf-model-coderancer-movie-recommender-model/safety on Hugging Bay."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model#faq-fit-unknown","name":"Will coderancer/movie-recommender-model run on my computer?","acceptedAnswer":{"@type":"Answer","text":"We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked."}}]}]},"artifactId":"hf-model-coderancer-movie-recommender-model","artifact":{"id":"hf-model-coderancer-movie-recommender-model","repo":"coderancer/movie-recommender-model","type":"embedding","typeLabel":"Embedding","summary":"Model from Hugging Face for sentence similarity: coderancer/movie-recommender-model · sentence transformers","description":"External Hugging Face catalog record for coderancer/movie-recommender-model. Task: sentence similarity. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq, yahoo_answers_topics, code_search_net. Popularity signal at import: 105 downloads and 0 likes.","task":"sentence-similarity","modality":"text","framework":"sentence-transformers","formats":["gitattributes","json","md","safetensors","txt"],"tags":["huggingface-import","external-catalog","model","apache-2.0","sentence-transformers","safetensors","bert","feature-extraction","sentence-similarity","transformers","en","dataset:s2orc","dataset:flax-sentence-embeddings/stackexchange_xml","dataset:ms_marco","dataset:gooaq","dataset:yahoo_answers_topics","dataset:code_search_net","dataset:search_qa","dataset:eli5","dataset:snli","dataset:multi_nli","dataset:wikihow","dataset:natural_questions","dataset:trivia_qa"],"license":"apache-2.0","sourceUrl":"https://huggingface.co/coderancer/movie-recommender-model","upstream":{"gated":false,"repoId":"coderancer/movie-recommender-model","private":false,"repoUrl":"https://huggingface.co/coderancer/movie-recommender-model","disabled":false,"provider":"huggingface","repoType":"model","revision":"7023eee5ff23fb2fa11cfcb2a0078af188db4bf3","fetchedAt":"2026-09-23T23:44:39.416Z","importMode":"external-catalog","licenseRaw":"apache-2.0"},"cardCompleteness":96,"safetyNotes":["External catalog metadata imported from Hugging Face public API on 2026-09-23T23:44:39.418Z.","Open license detected as apache-2.0.","Model card references dataset context: s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq.","Not locally hosted, mirrored, signed, or rescanned by Hugging Bay."],"cardMetadata":{"source":"huggingface-cardData","license":"apache-2.0","metrics":[],"datasets":["s2orc","flax-sentence-embeddings/stackexchange_xml","ms_marco","gooaq","yahoo_answers_topics","code_search_net","search_qa","eli5","snli","multi_nli","wikihow","natural_questions"],"paperIds":["1904.06472","2102.07033","2104.08727","1704.05179","1810.09305"],"repoType":"model","baseModel":"","languages":["en"],"sourceUrl":"https://huggingface.co/coderancer/movie-recommender-model","evalResults":[],"libraryName":"sentence-transformers","pipelineTag":"sentence-similarity","cardDataKeys":["datasets","language","library_name","license","pipeline_tag","tags"],"semanticText":"sentence-similarity sentence-transformers embedding model en s2orc flax-sentence-embeddings/stackexchange_xml ms_marco gooaq yahoo_answers_topics code_search_net search_qa eli5 snli multi_nli wikihow natural_questions safetensors transformers dataset:flax-sentence-embeddings/stackexchange_xml dataset:embedding-data/sentence-compression dataset:embedding-data/flickr30k-captions dataset:embedding-data/altlex dataset:embedding-data/simple-wiki dataset:embedding-data/qqp dataset:embedding-data/specter dataset:embedding-data/paq_pairs dataset:embedding-data/wikianswers text-embeddings-inference","semanticTerms":["sentence-similarity","sentence-transformers","embedding","model","en","s2orc","flax-sentence-embeddings/stackexchange_xml","ms_marco","gooaq","yahoo_answers_topics","code_search_net","search_qa","eli5","snli","multi_nli","wikihow","natural_questions","safetensors","transformers","dataset:flax-sentence-embeddings/stackexchange_xml","dataset:embedding-data/sentence-compression","dataset:embedding-data/flickr30k-captions","dataset:embedding-data/altlex","dataset:embedding-data/simple-wiki","dataset:embedding-data/qqp","dataset:embedding-data/specter","dataset:embedding-data/paq_pairs","dataset:embedding-data/wikianswers","text-embeddings-inference"],"siblingSample":[{"lfs":false,"path":".gitattributes","sizeBytes":1519},{"lfs":false,"path":"1_Pooling/config.json","sizeBytes":296},{"lfs":false,"path":"README.md","sizeBytes":10454},{"lfs":false,"path":"config.json","sizeBytes":617},{"lfs":false,"path":"config_sentence_transformers.json","sizeBytes":205},{"lfs":true,"path":"model.safetensors","sizeBytes":90864192},{"lfs":false,"path":"modules.json","sizeBytes":349},{"lfs":false,"path":"sentence_bert_config.json","sizeBytes":53},{"lfs":false,"path":"special_tokens_map.json","sizeBytes":695},{"lfs":false,"path":"tokenizer.json","sizeBytes":711661},{"lfs":false,"path":"tokenizer_config.json","sizeBytes":1464},{"lfs":false,"path":"vocab.txt","sizeBytes":231508}],"modelIndexNames":[]},"modelCardFacts":{"source":"huggingface-cardData","repoType":"model","sourceUrl":"https://huggingface.co/coderancer/movie-recommender-model","declaredLicense":"apache-2.0","pipelineTag":"sentence-similarity","libraryName":"sentence-transformers","baseModel":"","baseModels":[],"taskCategories":["sentence-similarity"],"cardTags":[],"languages":["en"],"datasets":["s2orc","flax-sentence-embeddings/stackexchange_xml","ms_marco","gooaq","yahoo_answers_topics","code_search_net","search_qa","eli5","snli","multi_nli","wikihow","natural_questions"],"metrics":[],"paperIds":["1904.06472","2102.07033","2104.08727","1704.05179","1810.09305"],"modelIndexNames":[],"evalResults":[],"siblingSample":[{"path":".gitattributes","sizeBytes":1519,"lfs":false},{"path":"1_Pooling/config.json","sizeBytes":296,"lfs":false},{"path":"README.md","sizeBytes":10454,"lfs":false},{"path":"config.json","sizeBytes":617,"lfs":false},{"path":"config_sentence_transformers.json","sizeBytes":205,"lfs":false},{"path":"model.safetensors","sizeBytes":90864192,"lfs":true},{"path":"modules.json","sizeBytes":349,"lfs":false},{"path":"sentence_bert_config.json","sizeBytes":53,"lfs":false},{"path":"special_tokens_map.json","sizeBytes":695,"lfs":false},{"path":"tokenizer.json","sizeBytes":711661,"lfs":false},{"path":"tokenizer_config.json","sizeBytes":1464,"lfs":false},{"path":"vocab.txt","sizeBytes":231508,"lfs":false}],"semanticTerms":["sentence-similarity","sentence-transformers","embedding","model","en","s2orc","flax-sentence-embeddings/stackexchange_xml","ms_marco","gooaq","yahoo_answers_topics","code_search_net","search_qa","eli5","snli","multi_nli","wikihow","natural_questions","safetensors","transformers","dataset:flax-sentence-embeddings/stackexchange_xml","dataset:embedding-data/sentence-compression","dataset:embedding-data/flickr30k-captions","dataset:embedding-data/altlex","dataset:embedding-data/simple-wiki","dataset:embedding-data/qqp","dataset:embedding-data/specter","dataset:embedding-data/paq_pairs","dataset:embedding-data/wikianswers","text-embeddings-inference"],"cardDataKeys":["datasets","language","library_name","license","pipeline_tag","tags"],"coverage":{"rawKeyCount":17,"normalizedFields":8,"hasDeclaredLicense":true,"hasPipeline":true,"hasLibrary":true,"hasBaseModel":false,"hasLanguages":true,"hasDatasets":true,"hasMetrics":false,"hasPapers":true,"hasModelIndex":false,"hasEvaluationResults":false,"hasFileHints":true,"hasTaskCategories":true,"hasCardTags":false},"facts":[{"id":"declared-license","label":"Declared license","value":"apache-2.0"},{"id":"pipeline","label":"Pipeline","value":"sentence-similarity"},{"id":"library","label":"Library","value":"sentence-transformers"},{"id":"task-categories","label":"Task categories","value":"sentence-similarity"},{"id":"languages","label":"Languages","value":"en"},{"id":"datasets","label":"Referenced datasets","value":"s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq, yahoo_answers_topics, code_search_net, search_qa, eli5"},{"id":"papers","label":"Paper ids","value":"1904.06472, 2102.07033, 2104.08727, 1704.05179, 1810.09305"},{"id":"file-hints","label":"File hints","value":"12 upstream file samples"}]},"runtimeFit":{"level":"unknown","label":"recorded runtime state unknown","hardware":"","sizeLabel":"unknown","runners":[],"runtimeFiles":[],"warnings":["No runtime compatibility or execution status claim is available until recorded evaluation is integrated."]},"updatedAt":"2026-09-23T23:45:08.247Z","createdAt":"2026-09-23T23:44:39.418Z","metrics":{"downloads":105,"stars":0,"citations":0,"mirrorDemand":0},"hosting":{"status":"hosted","hostedFiles":7,"externalFiles":11,"totalFiles":11,"fileInventoryAvailable":false,"completeRunnable":null,"verified":null,"downloadStatus":"external","sha256Files":0,"byteVerifiedAt":null,"hosted":true,"downloadReady":true,"downloadable":true,"mirroredFiles":7,"mirroredBytes":91578887},"decentralizedDistribution":{"protocol":"bittorrent-magnet-metadata","verifiedFallbacks":0,"pendingReviewRequests":0,"reviewRequired":true,"policy":"Peer-assisted fallbacks are metadata only until Hugging Bay review confirms source, license, provenance, and safety. Gated/private bypasses are not allowed."},"quality":{"score":96,"items":[{"id":"summary","label":"Summary","status":"passed"},{"id":"description","label":"Description","status":"passed"},{"id":"card-metadata","label":"Model card metadata","status":"passed"},{"id":"license","label":"License","status":"passed"},{"id":"provenance","label":"Provenance","status":"passed"},{"id":"files","label":"File inventory","status":"passed"},{"id":"hosted","label":"Hosted bytes","status":"passed"},{"id":"scan","label":"Scan result","status":"passed"},{"id":"signature","label":"Manifest signature","status":"pending"}]},"signals":{"size":{"known":true,"bytes":91823013,"label":"87.6 MB","reason":""},"demand":{"mirrorRequests":0,"upstreamDownloads":105,"upstreamStars":0,"label":"105 upstream downloads","basis":"upstream-downloads"},"trust":{"score":0,"level":"metadata-checked","label":"Unknown","qualification":"recorded-state-complete-bytes","trustImpact":"none","checks":[{"id":"license","label":"License","status":"pass","detail":"apache-2.0"},{"id":"provenance","label":"Provenance","status":"pass","detail":"coderancer/movie-recommender-model"},{"id":"scan","label":"Scan","status":"pass","detail":"passed"},{"id":"hosting","label":"Hosted files","status":"warn","detail":"7/11 repository files hosted; selected representation evaluated separately"},{"id":"manifest","label":"Byte manifest integrity","status":"pass","detail":"selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)"}],"strengths":["License: apache-2.0","Provenance: coderancer/movie-recommender-model","Scan: passed","Byte manifest integrity: selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)"],"gaps":["Hosted files: 7/11 repository files hosted; selected representation evaluated separately"]},"readiness":{"score":0,"level":"unknown","hostedFinal":true,"hostedFiles":7,"externalFiles":4,"totalFiles":11},"action":{"id":"request-mirror","label":"Request a complete representation","detail":"Capture demand for a reviewed, immutable representation with complete selected bytes.","href":"/artifact/hf-model-coderancer-movie-recommender-model/mirrors"}},"readiness":"ready","downloadReady":true,"downloadable":true,"downloadStatus":"READY","hostedFileCount":7,"mirroredBytes":91578887,"readinessCheckedAt":"2026-10-20T21:25:21.080Z","readinessSource":"index","degraded":true,"stale":true,"hosted":true,"hostingStatus":"hosted","publicDownloadableFileCount":7},"previewableFiles":[],"actions":{"web":"https://huggingbay.xyz/artifact/hf-model-coderancer-movie-recommender-model","files":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/files?limit=100","metadata":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/metadata.json","distribution":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/distribution","compare":"https://huggingbay.xyz/api/compare?ids=hf-model-coderancer-movie-recommender-model","manifest":null,"downloadRows":null,"downloadPlan":null,"requestMirror":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/mirror-request","requestDecentralizedFallback":"https://huggingbay.xyz/api/artifacts/hf-model-coderancer-movie-recommender-model/decentralized-fallbacks","upstream":"https://huggingface.co/coderancer/movie-recommender-model"},"readiness":"ready","downloadReady":true,"downloadable":true,"downloadStatus":"READY","hostedFileCount":7,"mirroredBytes":91578887,"readinessCheckedAt":"2026-10-20T21:25:21.080Z","readinessSource":"index","degraded":true,"stale":true,"hosted":true,"hostingStatus":"hosted","publicDownloadableFileCount":7,"note":{"summary":"Downloadable doesn't mean tested: this record says whether the exact file can be downloaded now, not that the model is complete or that it runs.","downloadable":true}}