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Sombit
/
trajectoryvla_new

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

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

  • Libraries
  • Transformers

    How to use Sombit/trajectoryvla_new with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Sombit/trajectoryvla_new", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForVision2Seq
    model = AutoModelForVision2Seq.from_pretrained("Sombit/trajectoryvla_new", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
trajectoryvla_new
15.2 GB
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  • 1 contributor
History: 3 commits
Sombit's picture
Sombit
Upload TrajectoryVLA
bbe26d0 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload config over 1 year ago
  • config.json
    871 Bytes
    Upload TrajectoryVLA over 1 year ago
  • generation_config.json
    136 Bytes
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  • model-00001-of-00003.safetensors
    6.95 GB
    xet
    Upload TrajectoryVLA over 1 year ago
  • model-00002-of-00003.safetensors
    6.97 GB
    xet
    Upload TrajectoryVLA over 1 year ago
  • model-00003-of-00003.safetensors
    1.27 GB
    xet
    Upload TrajectoryVLA over 1 year ago
  • model.safetensors.index.json
    105 kB
    Upload TrajectoryVLA over 1 year ago
  • prismatic_config.py
    12.3 kB
    Upload config over 1 year ago
  • prismatic_model.py
    50.1 kB
    Upload TrajectoryVLA over 1 year ago