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BrunoM42
/
OpenVLA-pnp-cube-5k

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

Instructions to use BrunoM42/OpenVLA-pnp-cube-5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BrunoM42/OpenVLA-pnp-cube-5k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="BrunoM42/OpenVLA-pnp-cube-5k", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForVision2Seq
    model = AutoModelForVision2Seq.from_pretrained("BrunoM42/OpenVLA-pnp-cube-5k", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
OpenVLA-pnp-cube-5k
15.1 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
BrunoM42's picture
BrunoM42
Upload OpenVLAForActionPrediction
91cc235 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
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  • config.json
    63.3 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-00004.safetensors
    4.93 GB
    xet
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  • model-00002-of-00004.safetensors
    4.95 GB
    xet
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  • model-00003-of-00004.safetensors
    4.95 GB
    xet
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  • model-00004-of-00004.safetensors
    263 MB
    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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