Instructions to use ananddey/bge-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ananddey/bge-m3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ananddey/bge-m3") 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:
- bf69c0ce149a0eaf82c2653b4c9c0984c175c504ecbfd1473751843ba8c675f1
- Size of remote file:
- 18.1 MB
- SHA256:
- 7aa7ad2ff77818b561c6d8358692fcc7fa926e3baf3742b551d64d6b0bd3d8b8
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