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TinyPixel
/
Autotrain

PEFT
PyTorch
Safetensors
Model card Files Files and versions
xet
Community

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

  • Libraries
  • PEFT

    How to use TinyPixel/Autotrain with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded")
    model = PeftModel.from_pretrained(base_model, "TinyPixel/Autotrain")
  • Notebooks
  • Google Colab
  • Kaggle
Autotrain
643 MB
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  • 1 contributor
History: 14 commits
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TinyPixel
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  • .gitattributes
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  • README.md
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  • adapter_config.json
    578 Bytes
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  • adapter_model.bin
    160 MB
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  • adapter_model.safetensors
    160 MB
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  • optimizer.pt
    320 MB
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  • pytorch_model.bin
    443 Bytes
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  • rng_state.pth
    14.6 kB
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  • scheduler.pt
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  • special_tokens_map.json
    434 Bytes
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  • tokenizer.json
    1.84 MB
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  • tokenizer.model
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  • tokenizer_config.json
    793 Bytes
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  • trainer_state.json
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  • training_args.bin
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