Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
text-embeddings-inference
Instructions to use Codingchild/medical-bge-large-en-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Codingchild/medical-bge-large-en-v1.5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Codingchild/medical-bge-large-en-v1.5") 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:
- 4a35ba220b625e897f4ca673722c8bd5d1de1422abae14cf74fd132f737c5a28
- Size of remote file:
- 5.37 kB
- SHA256:
- ef209a257fa2aaa78a01dbf2daa73ff1eaa9025b5ff13bc913d68388b92a170e
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