Sentence Similarity
sentence-transformers
PyTorch
Safetensors
xlm-roberta
feature-extraction
medical
biology
text-embeddings-inference
Instructions to use FremyCompany/BioLORD-2023-M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use FremyCompany/BioLORD-2023-M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("FremyCompany/BioLORD-2023-M") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51f34540ac0f43525825aa16c552f548ff2c5b50ce04a130fde1535b2e82b02f
- Size of remote file:
- 1.11 GB
- SHA256:
- ac2191229b905315a30d1e9d045dbf2ec2e5947cff8bcf9574080b9f321f5062
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