Sentence Similarity
sentence-transformers
PyTorch
English
mpnet
feature-extraction
text-embeddings-inference
Instructions to use FremyCompany/BioLORD-STAMB2-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use FremyCompany/BioLORD-STAMB2-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("FremyCompany/BioLORD-STAMB2-v1") 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:
- 0e941ef7d7e22dcd5be2b2e817cf8cddfe23b58f607ef41b9fc6d00d9cd5e808
- Size of remote file:
- 438 MB
- SHA256:
- de86a8932e4e789b493a330cd89611ff9df567ec5c9a610679b02405f1239112
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