pubmedbert-base-embeddings-onnx
emmapraise/pubmedbert-base-embeddings-onnxContent controls: not assessed.
Model from Hugging Face for sentence similarity: emmapraise/pubmedbert-base-embeddings-onnx · sentence transformers
模型信息
pubmedbert-base-embeddings-onnx is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (438 MB). The primary file needs about 2 GB free for the selected file. License: Apache 2.0. The SHA-256 prefix is 929ddc16369b. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.
包含内容
8 hosted of 13 listed
关于此模型
External Hugging Face catalog record for emmapraise/pubmedbert-base-embeddings-onnx. Task: sentence similarity. Library: sentence transformers. Languages: en. Base model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext. Popularity signal at import: 366 downloads and 0 likes.
基本信息
- Hosted here
- 8 hosted of 13 listed
- Full repo upstream
- 874.7 MB
- Recommended file
- 438 MB · model.safetensors
- Languages
- en
- Format
- ONNX · safetensors
- Downloads on Hugging Face
- 366
- File hashes
- Hashes recorded. Date not recorded.
许可证与来源
License: apache-2.0
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- sentence similarity and retrieval
- Hosted here
- at least 8 listed files; full count and size unknown
- Full repo upstream
- 874.7 MB
- Recommended file
- 438 MB · model.safetensors
- Files
- 8 hosted of 13 listed
- Download
- Download here (8 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
emmapraise/pubmedbert-base-embeddings-onnx is an embedding model for sentence similarity and retrieval published by emmapraise, added to Hugging Bay Sep 23, 2026. Model from Hugging Face for sentence similarity: emmapraise/pubmedbert-base-embeddings-onnx · sentence transformers
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.
How big is it?
Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 874.7 MB. The recommended download, model.safetensors, is 438 MB.
What can I download here?
Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 874.7 MB. The original release is at https://huggingface.co/emmapraise/pubmedbert-base-embeddings-onnx.
File checks and computer fit
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-emmapraise-pubmedbert-base-embeddings-onnx/safety on Hugging Bay.
Will emmapraise/pubmedbert-base-embeddings-onnx 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.
Repack of microsoft/biomednlp-pubmedbert-base-uncased-abstract-fulltext (from the publisher card on Hugging Face). This does not mean the files match the original weights.