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gwkrsrch2
/
InternViT-300M-from-InternVL3_5-2B-HF

Feature Extraction
Transformers
Safetensors
internvl_vision
Model card Files Files and versions
xet
Community

Instructions to use gwkrsrch2/InternViT-300M-from-InternVL3_5-2B-HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gwkrsrch2/InternViT-300M-from-InternVL3_5-2B-HF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="gwkrsrch2/InternViT-300M-from-InternVL3_5-2B-HF")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("gwkrsrch2/InternViT-300M-from-InternVL3_5-2B-HF")
    model = AutoModel.from_pretrained("gwkrsrch2/InternViT-300M-from-InternVL3_5-2B-HF")
  • Notebooks
  • Google Colab
  • Kaggle
InternViT-300M-from-InternVL3_5-2B-HF
608 MB
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  • 1 contributor
History: 5 commits
gwkrsrch2's picture
gwkrsrch2
Upload processor
be8ad64 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.17 kB
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  • config.json
    788 Bytes
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  • model.safetensors
    608 MB
    xet
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  • preprocessor_config.json
    731 Bytes
    Upload processor 9 months ago