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iMiW
/
Giga-Embeddings-instruct-4bit-nf4

Feature Extraction
Transformers
Safetensors
gigarembed
embeddings
quantized
4bit
nf4
bnb
custom_code
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use iMiW/Giga-Embeddings-instruct-4bit-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use iMiW/Giga-Embeddings-instruct-4bit-nf4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="iMiW/Giga-Embeddings-instruct-4bit-nf4", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("iMiW/Giga-Embeddings-instruct-4bit-nf4", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Giga-Embeddings-instruct-4bit-nf4
2.18 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
iMiW's picture
iMiW
Update README.md
5293b92 verified 7 months ago
  • .gitattributes
    1.57 kB
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  • README.md
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  • chat_template.jinja
    115 Bytes
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  • config.json
    6.44 kB
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  • configuration_gigarembed.py
    14.4 kB
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  • model.safetensors
    2.17 GB
    xet
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  • modeling_gigarembed.py
    44.2 kB
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  • special_tokens_map.json
    690 Bytes
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  • tokenizer.json
    10.7 MB
    xet
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  • tokenizer_config.json
    48 kB
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