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shuyuej
/
Linq-Embed-Mistral-GPTQ

Feature Extraction
Transformers
Safetensors
mistral
text-embeddings-inference
4-bit precision
gptq
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use shuyuej/Linq-Embed-Mistral-GPTQ with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="shuyuej/Linq-Embed-Mistral-GPTQ")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("shuyuej/Linq-Embed-Mistral-GPTQ")
    model = AutoModel.from_pretrained("shuyuej/Linq-Embed-Mistral-GPTQ")
  • Notebooks
  • Google Colab
  • Kaggle
Linq-Embed-Mistral-GPTQ
4.16 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
shuyuej's picture
shuyuej
Update README.md
bee1a44 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    792 Bytes
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  • config.json
    1 kB
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  • config_sentence_transformers.json
    205 Bytes
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  • model.safetensors
    4.16 GB
    xet
    Rename gptq_model-4bit-128g.safetensors to model.safetensors almost 2 years ago
  • modules.json
    229 Bytes
    Upload 7 files almost 2 years ago
  • quantize_config.json
    267 Bytes
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  • sentence_bert_config.json
    55 Bytes
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  • special_tokens_map.json
    624 Bytes
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  • tokenizer.json
    1.8 MB
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  • tokenizer.model
    493 kB
    xet
    Upload 7 files almost 2 years ago
  • tokenizer_config.json
    1.01 kB
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