Add abhinand/MedEmbed-small-v0.1 (ONNX, medical text embeddings)
Browse filesAdds an ONNX version of abhinand/MedEmbed-small-v0.1, a BERT-based embedding model fine-tuned for medical and clinical text.
Why we want it
We run a healthcare social platform . Our posts are full of medical terms that general-purpose models handle unevenly. We tested this model with Typesense auto-embedding on 2,000 real surgical posts, and it returns relevant results for medical queries
Details
- Source model: abhinand/MedEmbed-small-v0.1 (Apache 2.0)
- Embedding size: 384
- model_type: bert
- Converted with: optimum-cli export onnx --model abhinand/MedEmbed-small-v0.1 --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
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{
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"model_md5": "3e91c78c4b43ea73a3204d17062e2338",
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"vocab_file_name": "vocab.txt",
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"vocab_md5": "64800d5d8528ce344256daf115d4965e",
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"model_type": "bert"
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}
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version https://git-lfs.github.com/spec/v1
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oid sha256:95dc6297fe0bd0f6999c42d319501838f0567700ac36c8ffc17c850abaaf2a0f
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size 133059979
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