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andrewqian123
/
Vision

Feature Extraction
Transformers
Safetensors
minicpmv
custom_code
8-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use andrewqian123/Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use andrewqian123/Vision with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="andrewqian123/Vision", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("andrewqian123/Vision", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Vision
9.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
andrewqian123's picture
andrewqian123
Upload tokenizer
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  • .gitattributes
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  • README.md
    5.17 kB
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  • added_tokens.json
    629 Bytes
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  • config.json
    1.95 kB
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  • configuration_minicpm.py
    3.28 kB
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  • generation_config.json
    121 Bytes
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  • merges.txt
    1.67 MB
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  • model-00001-of-00002.safetensors
    4.98 GB
    xet
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  • model-00002-of-00002.safetensors
    4.27 GB
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  • model.safetensors.index.json
    130 kB
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  • modeling_navit_siglip.py
    41.8 kB
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  • special_tokens_map.json
    1.04 kB
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  • tokenization_minicpmv_fast.py
    1.66 kB
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    5.66 kB
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  • vocab.json
    2.78 MB
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