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P1oris
/
openvla-maniskill

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

Instructions to use P1oris/openvla-maniskill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use P1oris/openvla-maniskill with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="P1oris/openvla-maniskill", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForVision2Seq
    model = AutoModelForVision2Seq.from_pretrained("P1oris/openvla-maniskill", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
openvla-maniskill
15.1 GB
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  • 1 contributor
History: 5 commits
P1oris's picture
P1oris
Upload OpenVLAForActionPrediction
6cd7dd1 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
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  • added_tokens.json
    21 Bytes
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  • config.json
    60.8 kB
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  • configuration_prismatic.py
    5.87 kB
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  • generation_config.json
    136 Bytes
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  • model-00001-of-00003.safetensors
    6.95 GB
    xet
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  • model-00002-of-00003.safetensors
    6.97 GB
    xet
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  • model-00003-of-00003.safetensors
    1.16 GB
    xet
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  • model.safetensors.index.json
    94.8 kB
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  • modeling_prismatic.py
    26.1 kB
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  • preprocessor_config.json
    1.69 kB
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  • special_tokens_map.json
    552 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer.model
    500 kB
    xet
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  • tokenizer_config.json
    1.24 kB
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