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INSAIT-Institute
/
spear1-franka

Visual Question Answering
Transformers
Safetensors
spear1
feature-extraction
custom_code
Model card Files Files and versions
xet
Community

Instructions to use INSAIT-Institute/spear1-franka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use INSAIT-Institute/spear1-franka with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="INSAIT-Institute/spear1-franka", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("INSAIT-Institute/spear1-franka", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
spear1-franka
14.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
giu-alb's picture
giu-alb
Update README.md
f236dad verified 7 months ago
  • .gitattributes
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  • README.md
    3.8 kB
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  • common_spear.py
    25 kB
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  • config.json
    4.19 kB
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  • configuration_spear.py
    13.1 kB
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  • generation_config.json
    39 Bytes
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  • model-00001-of-00003.safetensors
    4.96 GB
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  • model-00002-of-00003.safetensors
    5 GB
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  • model-00003-of-00003.safetensors
    4.25 GB
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  • model.safetensors.index.json
    117 kB
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  • modeling_spear.py
    118 kB
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  • processing_spear.py
    79 kB
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