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toilaluan
/
f2p_decoder

Feature Extraction
Transformers
Safetensors
f2p_decoder
vision
image-reconstruction
siglip2
custom_code
Model card Files Files and versions
xet
Community

Instructions to use toilaluan/f2p_decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use toilaluan/f2p_decoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="toilaluan/f2p_decoder", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("toilaluan/f2p_decoder", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
f2p_decoder
1.66 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
toilaluan's picture
toilaluan
Update README.md
0bfba7a verified 5 days ago
  • __pycache__
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  • .gitattributes
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  • README.md
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  • __init__.py
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  • config.json
    942 Bytes
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  • configuration_f2p_decoder.py
    2.92 kB
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  • convert_original_checkpoint.py
    1.38 kB
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  • decoder.py
    46.5 kB
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  • model.safetensors
    1.66 GB
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  • modeling_f2p_decoder.py
    3.32 kB
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