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 RedHatAI/multilingual-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use RedHatAI/multilingual-e5-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RedHatAI/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] - Notebooks
- Google Colab
- Kaggle
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- sentence-transformers
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tasks:
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- text-embedding
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provider:
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name: RedHatAI/multilingual-e5-large
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description: multilingual embedding model for recommended use with Docling.
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readme: https://huggingface.co/RedHatAI/multilingual-e5-large/blob/main/README.md
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- sentence-transformers
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tasks:
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- text-embedding
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provider: intfloat
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name: RedHatAI/multilingual-e5-large
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description: multilingual embedding model for recommended use with Docling.
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readme: https://huggingface.co/RedHatAI/multilingual-e5-large/blob/main/README.md
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