Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use RaduGabriel/BGE-M3-SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use RaduGabriel/BGE-M3-SQL with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RaduGabriel/BGE-M3-SQL") 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
- Xet hash:
- 54e66fefc268017810c0ce366d63bb5c79772ff07fa5a186f02f7b6fb0b625a0
- Size of remote file:
- 2.27 GB
- SHA256:
- 3f485f5f8d337c50160f00473ca0ee9b6397f2c21509879220f5920b0ae22a78
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