Feature Extraction
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
xlm-roberta
mteb
Sentence Transformers
sentence-similarity
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use intfloat/multilingual-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use intfloat/multilingual-e5-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("intfloat/multilingual-e5-large") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Add link to new paper (#29)
Verified signature- Add link to new paper (fdf3dc539da8c22662dd7fef0af417f370db3efd) Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.huggingface.co>bbc53bb
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Update README.md (#16)
- Update README.md (a6f09c31413702182b53adc23c2b3bd7b522fe8a) Co-authored-by: ajax duran <goldenrooster@users.noreply.huggingface.co>9f78368
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Update README.md
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add sentence similarity tag
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Add 'Sentence Transformers' Tag to generate sentence embedding (#8)
- Add 'Sentence Transformers' Tag to generate sentence embedding (700762db25c8282d3ef1daff71dc1a8efe4de9d2) Co-authored-by: Sidaartha Reddy <Sidaartha@users.noreply.huggingface.co>f4abbbe
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Update README.md
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upload model weights
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