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Linq-AI-Research
/
Linq-Embed-Mistral

Feature Extraction
sentence-transformers
Safetensors
Transformers
English
mistral
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
8

Instructions to use Linq-AI-Research/Linq-Embed-Mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Linq-AI-Research/Linq-Embed-Mistral with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Linq-AI-Research/Linq-Embed-Mistral")
    
    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]
  • Transformers

    How to use Linq-AI-Research/Linq-Embed-Mistral with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Linq-AI-Research/Linq-Embed-Mistral")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Linq-AI-Research/Linq-Embed-Mistral")
    model = AutoModel.from_pretrained("Linq-AI-Research/Linq-Embed-Mistral", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Linq-Embed-Mistral
14.2 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 35 commits
Mayfull's picture
Mayfull
Update README.md
0757ec1 verified over 2 years ago
  • .gitattributes
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    Upload LinqAIResearch2024_Linq-Embed-Mistral.pdf over 2 years ago
  • LinqAIResearch2024_Linq-Embed-Mistral.pdf
    8 MB
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  • README.md
    51.3 kB
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  • config.json
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  • model-00001-of-00003.safetensors
    4.94 GB
    xet
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  • model-00002-of-00003.safetensors
    5 GB
    xet
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  • model-00003-of-00003.safetensors
    4.28 GB
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  • model.safetensors.index.json
    22.2 kB
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  • special_tokens_map.json
    624 Bytes
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  • tokenizer.json
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  • tokenizer.model
    493 kB
    xet
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  • tokenizer_config.json
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