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agopalkr
/
pi-0-cotraining-bridge

Feature Extraction
Transformers
Safetensors
prismatic
custom_code
Model card Files Files and versions
xet
Community

Instructions to use agopalkr/pi-0-cotraining-bridge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use agopalkr/pi-0-cotraining-bridge with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="agopalkr/pi-0-cotraining-bridge", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForVision2Seq
    model = AutoModelForVision2Seq.from_pretrained("agopalkr/pi-0-cotraining-bridge", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pi-0-cotraining-bridge
6.95 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
agopalkr's picture
agopalkr
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2376edc verified 12 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
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  • added_tokens.json
    43 Bytes
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  • config.json
    1.3 kB
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  • configuration_prismatic.py
    6 kB
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  • generation_config.json
    137 Bytes
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  • model.safetensors
    6.93 GB
    xet
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  • modelling_pi.py
    26.4 kB
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  • preprocessor_config.json
    1.08 kB
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  • processing_prismatic.py
    12.7 kB
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  • processor_config.json
    130 Bytes
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  • special_tokens_map.json
    607 Bytes
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  • tokenizer.json
    17.5 MB
    xet
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  • tokenizer.model
    4.26 MB
    xet
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  • tokenizer_config.json
    40.2 kB
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