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internlm
/
internlm-xcomposer2d5-7b

Visual Question Answering
Transformers
PyTorch
internlm2
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
23

Instructions to use internlm/internlm-xcomposer2d5-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use internlm/internlm-xcomposer2d5-7b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="internlm/internlm-xcomposer2d5-7b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("internlm/internlm-xcomposer2d5-7b", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
internlm-xcomposer2d5-7b / examples
30.2 MB
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  • 3 contributors
History: 2 commits

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