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LinWeizheDragon
/
PreFLMR_ViT-B

Feature Extraction
Transformers
Safetensors
English
flmr
retrieval
multi-modal
knowledge-based visual question answering
FLMR
PreFLMR
custom_code
Model card Files Files and versions
xet
Community

Instructions to use LinWeizheDragon/PreFLMR_ViT-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LinWeizheDragon/PreFLMR_ViT-B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="LinWeizheDragon/PreFLMR_ViT-B", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("LinWeizheDragon/PreFLMR_ViT-B", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PreFLMR_ViT-B
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  • 1 contributor
History: 6 commits
LinWeizheDragon's picture
LinWeizheDragon
Update README.md
de6926c verified about 2 years ago
  • context_tokenizer
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  • query_tokenizer
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  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.85 kB
    Update README.md about 2 years ago
  • config.json
    1.34 kB
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  • configuration_flmr.py
    20.7 kB
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  • flmr_utils.py
    2.38 kB
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  • model.safetensors
    1.31 GB
    xet
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  • modeling_flmr.py
    82.1 kB
    Update modeling_flmr.py about 2 years ago
  • segmented_maxsim.cpp
    2.78 kB
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  • tokenization_flmr.py
    8.51 kB
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  • tokenization_flmr_fast.py
    4.63 kB
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