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HarshaDiwakar
/
orange-problem-git-lora

Image-to-Text
Transformers
Safetensors
multimodal
lora
ui-captioning
Model card Files Files and versions
xet
Community

Instructions to use HarshaDiwakar/orange-problem-git-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HarshaDiwakar/orange-problem-git-lora 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="HarshaDiwakar/orange-problem-git-lora")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("HarshaDiwakar/orange-problem-git-lora", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
orange-problem-git-lora
3.31 MB
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  • 1 contributor
History: 7 commits
HarshaDiwakar's picture
HarshaDiwakar
Update README.md
171116d verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    3.14 kB
    Update README.md 2 months ago
  • adapter_config.json
    642 Bytes
    Orange Problem โ€” GIT-base LoRA adapters 2 months ago
  • adapter_model.safetensors
    2.36 MB
    xet
    Orange Problem โ€” GIT-base LoRA adapters 2 months ago
  • preprocessor_config.json
    817 Bytes
    Add AutoProcessor 2 months ago
  • special_tokens_map.json
    695 Bytes
    Add AutoProcessor 2 months ago
  • tokenizer.json
    712 kB
    Add AutoProcessor 2 months ago
  • tokenizer_config.json
    1.3 kB
    Add AutoProcessor 2 months ago
  • vocab.txt
    232 kB
    Add AutoProcessor 2 months ago