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
Download latest from RaduGabriel/BGE-M3-SQL: direct link, hf CLI and curl.
- Browser
- Download file 15 Bytes
-
https://huggingface.co/RaduGabriel/BGE-M3-SQL/resolve/main/latest
- Command line
-
hf download hf://RaduGabriel/BGE-M3-SQL/latest
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curl -L -o latest https://huggingface.co/RaduGabriel/BGE-M3-SQL/resolve/main/latest
15 Bytes
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