sentence-transformers
PyTorch
Spanish
roberta
relation-classification
bert
biomedical
lexical semantics
bionlp
Instructions to use BSC-NLP4BIA/biomedical-semantic-relation-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BSC-NLP4BIA/biomedical-semantic-relation-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BSC-NLP4BIA/biomedical-semantic-relation-classifier") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BSC-NLP4BIA/biomedical-semantic-relation-classifier: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/BSC-NLP4BIA/biomedical-semantic-relation-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BSC-NLP4BIA/biomedical-semantic-relation-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BSC-NLP4BIA/biomedical-semantic-relation-classifier/resolve/main/pytorch_model.bin
504 MB
- Xet hash:
- 7b6c4d2c758e9c573e69abcc0ace2d30ae3d571e3f5dcb5a4a8049a6f8f70887
- Size of remote file:
- 504 MB
- SHA256:
- 1f462abd68a0c26e4740674fb4f9d59a5b2b79b8dd107c83898b91b6c63ca014
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