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junyoung-00
/
Phi-3.5-vision-instruct-ChartCap

Image-to-Text
Transformers
Safetensors
phi3_v
text-generation
chart-captioning
multimodal
vision-language-model
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use junyoung-00/Phi-3.5-vision-instruct-ChartCap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use junyoung-00/Phi-3.5-vision-instruct-ChartCap with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="junyoung-00/Phi-3.5-vision-instruct-ChartCap", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("junyoung-00/Phi-3.5-vision-instruct-ChartCap", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Phi-3.5-vision-instruct-ChartCap
8.3 GB
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  • 2 contributors
History: 8 commits
junyoung-00's picture
junyoung-00
Update README.md
8fdcbe3 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    2.95 kB
    Update README.md 7 months ago
  • config.json
    3.93 kB
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  • configuration_phi3_v.py
    10.7 kB
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  • generation_config.json
    136 Bytes
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  • model-00001-of-00002.safetensors
    4.94 GB
    xet
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  • model-00002-of-00002.safetensors
    3.35 GB
    xet
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  • model.safetensors.index.json
    68.9 kB
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  • preprocessor_config.json
    512 Bytes
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  • special_tokens_map.json
    670 Bytes
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  • tokenizer.json
    1.85 MB
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  • tokenizer_config.json
    9.55 kB
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