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Thunderbolt215215
/
UniPercept

Feature Extraction
Transformers
Safetensors
English
internvl_chat
multimodal
vision-language-model
image-aesthetics
image-quality
perception-benchmark
iaa
iqa
vqa
internvl
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Thunderbolt215215/UniPercept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Thunderbolt215215/UniPercept with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Thunderbolt215215/UniPercept", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Thunderbolt215215/UniPercept", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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