Instructions to use FremyCompany/BioLORD-2023-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use FremyCompany/BioLORD-2023-S with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("FremyCompany/BioLORD-2023-S") sentences = [ "bartonellosis", "cat scratch disease", "cat scratch wound", "tick-borne orbivirus fever", "cat fur" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [5, 5] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a326c36e3aa9704bcf71a05703073b1b65e012428e7529b84348f01c1315af68
- Size of remote file:
- 438 MB
- SHA256:
- c906f8d40981144443c00643c9b2b05473fffca16faa5e88be8fd4260754755f
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