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Simbaprince
/
Dippy_Challenge3

Transformers
Safetensors
English
text-generation-inference
unsloth
llama
trl
Model card Files Files and versions
xet
Community

Instructions to use Simbaprince/Dippy_Challenge3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Simbaprince/Dippy_Challenge3 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Simbaprince/Dippy_Challenge3", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio

    How to use Simbaprince/Dippy_Challenge3 with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Simbaprince/Dippy_Challenge3 to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Simbaprince/Dippy_Challenge3 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Simbaprince/Dippy_Challenge3 to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="Simbaprince/Dippy_Challenge3",
        max_seq_length=2048,
    )
Dippy_Challenge3
387 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
Simbaprince's picture
Simbaprince
Upload model trained with Unsloth
2681e73 verified over 1 year ago
  • .gitattributes
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  • README.md
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  • adapter_config.json
    787 Bytes
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  • adapter_model.safetensors
    370 MB
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  • special_tokens_map.json
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    200 kB
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