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amaye15
/
Florence-2-DaViT-large-ft

Image Feature Extraction
Transformers
Safetensors
davit
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use amaye15/Florence-2-DaViT-large-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amaye15/Florence-2-DaViT-large-ft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="amaye15/Florence-2-DaViT-large-ft", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("amaye15/Florence-2-DaViT-large-ft", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Florence-2-DaViT-large-ft
725 MB
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  • 1 contributor
History: 11 commits
amaye15's picture
amaye15
Upload model
11fad94 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
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  • added_tokens.json
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  • config.json
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  • configuration_davit.py
    1.59 kB
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  • convert_weights.py
    2.11 kB
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  • export_to_onnx.py
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  • merges.txt
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  • model.safetensors
    721 MB
    xet
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  • modeling_davit.py
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  • preprocessor_config.json
    634 Bytes
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  • special_tokens_map.json
    147 kB
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  • tokenizer.json
    2.3 MB
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  • tokenizer_config.json
    198 kB
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  • vocab.json
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