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widegather
/
unipercept-mirror

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 widegather/unipercept-mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use widegather/unipercept-mirror with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="widegather/unipercept-mirror", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("widegather/unipercept-mirror", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
unipercept-mirror / asserts
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  • 1 contributor
History: 1 commit
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widegather
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