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SobanHM
/
LLaVA-via

Image-to-Text
Transformers
Safetensors
PEFT
English
llava
llava-1.5
vision-language-model
multimodal
lora
scene-understanding
navigation-guidance
assistive-ai
visually-impaired
Model card Files Files and versions
xet
Community

Instructions to use SobanHM/LLaVA-via with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SobanHM/LLaVA-via 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="SobanHM/LLaVA-via")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("SobanHM/LLaVA-via", dtype="auto")
  • PEFT

    How to use SobanHM/LLaVA-via with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
LLaVA-via
44 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SobanHM's picture
SobanHM
Update README.md
3b7d573 verified 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 7 days ago
  • README.md
    5.81 kB
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  • adapter_config.json
    895 Bytes
    Upload fine-tuned adapter 7 days ago
  • adapter_model.safetensors
    39.9 MB
    xet
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  • added_tokens.json
    45 Bytes
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  • chat_template.jinja
    675 Bytes
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  • preprocessor_config.json
    533 Bytes
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  • processor_config.json
    180 Bytes
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  • special_tokens_map.json
    611 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer.model
    500 kB
    xet
    Upload fine-tuned adapter 7 days ago
  • tokenizer_config.json
    1.52 kB
    Upload fine-tuned adapter 7 days ago