Sentence Similarity
sentence-transformers
PyTorch
Safetensors
English
bert
feature-extraction
text-embeddings-inference
Instructions to use nuvocare/WikiMedical_sent_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nuvocare/WikiMedical_sent_bert with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nuvocare/WikiMedical_sent_bert") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e228de5cdedcbf188317c57da0615087f75f78a7d1c1de0cb7f2211a708b080
- Size of remote file:
- 90.9 MB
- SHA256:
- 8ba1f6a831bf5e78bfbcc1643b6286a55f55736d33e511f05664015f0ae91e71
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