codebert-finetuned-crewai-base download | Hugging Bay

Q: What is this model?

itsanan/codebert-finetuned-crewai-base is an embedding model for sentence similarity and retrieval published by itsanan, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for sentence similarity: itsanan/codebert-finetuned-crewai-base · sentence transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 8 files, 502.2 MB. Full repo upstream: 503.5 MB. The recommended download, model.safetensors, is 498.6 MB.

Q: What can I download here?

Hosted here: 8 files, 502.2 MB. Full repo upstream: 503.5 MB. The original release is at https://huggingface.co/itsanan/codebert-finetuned-crewai-base.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-itsanan-codebert-finetuned-crewai-base/safety on Hugging Bay.

Q: Will itsanan/codebert-finetuned-crewai-base run on my computer?

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.

itsanan

codebert-finetuned-crewai-base

itsanan/codebert-finetuned-crewai-base

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 8 of 13 filessafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

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Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-itsanan-codebert-finetuned-crewai-base/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

8 hosted of 13 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors499 MB · 1 file Download · 499 MB (1 file)

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Check your download →

Compare your file’s SHA-256 with the recorded hash.

8 hosted of 13 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	498.6 MB	`5537e7b6…f314f8ec` `5537e7b6f78ecfc3d89e96962b30e25d1242b3d138de128fa2dd5cbaf314f8ec`	Hosted	Herunterladen
Tokenizer & config
`1_Pooling/config.json`	312 bytes	—	Upstream only	File metadata
`config.json`	648 bytes	`be4df91f…73ba3288` `be4df91f4e8cf8c36fb817750824df74d515861e9b635d634910be8673ba3288`	Hosted	Herunterladen
`config_sentence_transformers.json`	283 bytes	`b08b77e3…d3575c9f` `b08b77e3ff9c96ee7438424373b9920dac3dfdbf0d59a03e42305487d3575c9f`	Hosted	Herunterladen
`merges.txt`	456.3 KB	—	Upstream only	File metadata
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	Herunterladen
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Herunterladen
`special_tokens_map.json`	958 bytes	`f23c8e60…1863e857` `f23c8e6099631c233c16d9bf8dab198f610826cdd1b358f270f6d55c1863e857`	Hosted	Herunterladen
`tokenizer.json`	3.56 MB	`ebea7a05…bf927308` `ebea7a057f31d0c355148f865d22538337d0209d3abf1b21a0336879bf927308`	Hosted	Herunterladen
`tokenizer_config.json`	1.44 KB	`e3a76178…cf114e8a` `e3a761785d0e81523403a76d2faae7c47da5983a51aade261d2d6905cf114e8a`	Hosted	Herunterladen
`vocab.json`	798.3 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	40.4 KB	—	Upstream only	File metadata

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In the folder where you saved model.safetensors, run:

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shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

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codebert-finetuned-crewai-base

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