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Sriram1806
/
NLP_Orange_Problem-How_I_Met_You

Safetensors
English
qwen2_vl
vision-language
chart-qa
qwen2-vl
unsloth
multimodal
Model card Files Files and versions
xet
Community

Instructions to use Sriram1806/NLP_Orange_Problem-How_I_Met_You with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Local Apps
  • Unsloth Studio new

    How to use Sriram1806/NLP_Orange_Problem-How_I_Met_You 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 Sriram1806/NLP_Orange_Problem-How_I_Met_You 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 Sriram1806/NLP_Orange_Problem-How_I_Met_You to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Sriram1806/NLP_Orange_Problem-How_I_Met_You to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="Sriram1806/NLP_Orange_Problem-How_I_Met_You",
        max_seq_length=2048,
    )
NLP_Orange_Problem-How_I_Met_You
4.43 GB
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  • 1 contributor
History: 4 commits
Sriram1806's picture
Sriram1806
Update README.md
f4c58f9 verified 2 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    4.08 kB
    Update README.md 2 months ago
  • chat_template.jinja
    1.02 kB
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  • config.json
    2.36 kB
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  • generation_config.json
    237 Bytes
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  • model.safetensors
    4.42 GB
    xet
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  • processor_config.json
    1.42 kB
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    416 Bytes
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