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cmpatino
/
Grit7B_ReasonIR_Adapter

PEFT
Safetensors
Transformers
lora
Model card Files Files and versions
xet
Community

Instructions to use cmpatino/Grit7B_ReasonIR_Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use cmpatino/Grit7B_ReasonIR_Adapter with PEFT:

    Task type is invalid.
  • Transformers

    How to use cmpatino/Grit7B_ReasonIR_Adapter with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("cmpatino/Grit7B_ReasonIR_Adapter", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Grit7B_ReasonIR_Adapter
507 MB
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  • 1 contributor
History: 5 commits
cmpatino's picture
cmpatino HF Staff
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  • .gitattributes
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  • README.md
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  • adapter_config.json
    1.06 kB
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  • adapter_model.safetensors
    168 MB
    xet
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  • optimizer.pt
    336 MB
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  • rng_state_0.pth
    15.4 kB
    xet
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  • rng_state_1.pth
    15.4 kB
    xet
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  • rng_state_2.pth
    15.4 kB
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  • rng_state_3.pth
    15.4 kB
    xet
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  • scheduler.pt
    1.47 kB
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  • special_tokens_map.json
    550 Bytes
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  • tokenizer.json
    3.51 MB
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  • tokenizer_config.json
    1.22 kB
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  • trainer_state.json
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  • training_args.bin
    5.97 kB
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