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Leonardo6
/
test

Feature Extraction
Transformers
Safetensors
vlm
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Leonardo6/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Leonardo6/test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Leonardo6/test", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Leonardo6/test", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
test
14.1 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
Leonardo6's picture
Leonardo6
Upload processor
2686d43 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload VLMForCausalLM about 1 year ago
  • config.json
    1.9 kB
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  • configuration_vlm.py
    1.38 kB
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  • generation_config.json
    229 Bytes
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  • model-00001-of-00003.safetensors
    4.94 GB
    xet
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  • model-00002-of-00003.safetensors
    4.95 GB
    xet
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  • model-00003-of-00003.safetensors
    4.24 GB
    xet
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  • model.safetensors.index.json
    63 kB
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  • preprocessor_config.json
    717 Bytes
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  • processing_vlm.py
    1.33 kB
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  • processor_config.json
    112 Bytes
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  • special_tokens_map.json
    552 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer.model
    500 kB
    xet
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  • tokenizer_config.json
    1.13 kB
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