Adds an ONNX version of NeuML/pubmedbert-base-embeddings, a BERT-based sentence embedding model trained on biomedical literature (PubMed).
Why we want it
We run a healthcare social platform for surgeons. Search over medical terminology is the main use case, and a model trained on biomedical text is a natural fit
Details
- Source model: NeuML/pubmedbert-base-embeddings
- Embedding size: 768
- model_type: bert
- Converted with: optimum-cli export onnx --model NeuML/pubmedbert-base-embeddings --task feature-extraction
- The export includes the sentence-embedding output (pooling inside the ONNX graph)
- model_md5 and vocab_md5 in config.json are computed from the files in this PR
- No indexing_prefix or query_prefix is needed
Add fashion-clip-vit-b-p32 (ONNX of patrickjohncyh/fashion-clip) (#16)
- Add fashion-clip-vit-b-p32 (ONNX of patrickjohncyh/fashion-clip) (abea3dabcd86373b022eea989d457537b9103e3e)
- Attach reproducer + verifier scripts as proof (bd847c962e25190081740b57ca08d3be3d014772)
- Remove _reproducer; scripts will live in PR description instead (a094735baadf63de4df00bc9a04a63fd66880fcf)
Co-authored-by: Martini <alangmartini@users.noreply.huggingface.co>
