Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use Codingchild/medical-bge-reranker-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Codingchild/medical-bge-reranker-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Codingchild/medical-bge-reranker-large") 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:
- bd8ff13c8b2e26486407c07697ce08f087ce7fe4c3ebdf03160788d33a9fb52f
- Size of remote file:
- 17.1 MB
- SHA256:
- 580219fbd743e751c1c376ff2797748145a421652a332e52689c4aa261401603
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