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LinWeizheDragon
/
PreFLMR_ViT-G

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
2

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

  • Libraries
  • Transformers

    How to use LinWeizheDragon/PreFLMR_ViT-G with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="LinWeizheDragon/PreFLMR_ViT-G", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("LinWeizheDragon/PreFLMR_ViT-G", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PreFLMR_ViT-G
8.34 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
LinWeizheDragon's picture
LinWeizheDragon
Update README.md
98b0086 verified over 2 years ago
  • context_tokenizer
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  • query_tokenizer
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.85 kB
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  • config.json
    1.54 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-00001-of-00002.safetensors
    4.96 GB
    xet
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  • model-00002-of-00002.safetensors
    3.38 GB
    xet
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  • model.safetensors.index.json
    148 kB
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  • modeling_flmr.py
    82.1 kB
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  • segmented_maxsim.cpp
    2.78 kB
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  • special_tokens_map.json
    695 Bytes
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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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  • tokenizer_config.json
    1.31 kB
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  • vocab.txt
    232 kB
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