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harsh13333
/
vlm-step2

Feature Extraction
Transformers
TensorBoard
Safetensors
gemma_clip_vlm
Generated from Trainer
custom_code
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use harsh13333/vlm-step2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use harsh13333/vlm-step2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="harsh13333/vlm-step2", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("harsh13333/vlm-step2", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vlm-step2 / runs
21.5 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
harsh13333's picture
harsh13333
End of training
996b939 verified 6 months ago
  • Jan26_13-14-42_9722578b57e6
    End of training 6 months ago
  • Jan26_13-20-01_9722578b57e6
    End of training 6 months ago