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smjain
/
flan-alpaca-base-quantized

Transformers
ONNX
t5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use smjain/flan-alpaca-base-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use smjain/flan-alpaca-base-quantized with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("smjain/flan-alpaca-base-quantized")
    model = AutoModelForSeq2SeqLM.from_pretrained("smjain/flan-alpaca-base-quantized")
  • Notebooks
  • Google Colab
  • Kaggle
flan-alpaca-base-quantized
2.93 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
smjain's picture
smjain
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  • onnx
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.54 kB
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  • generation_config.json
    142 Bytes
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  • quantize_config.json
    3.45 kB
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  • special_tokens_map.json
    2.2 kB
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    2.35 kB
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