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chirAAG-sehgal
/
finetunedLLaVA

Transformers
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use chirAAG-sehgal/finetunedLLaVA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chirAAG-sehgal/finetunedLLaVA with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("chirAAG-sehgal/finetunedLLaVA", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
finetunedLLaVA
Ctrl+K
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  • 1 contributor
History: 32 commits
chirAAG-sehgal's picture
chirAAG-sehgal
Validation loss improved at epoch 0
cee23d4 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Training in progress, epoch 0 over 1 year ago
  • adapter_config.json
    970 Bytes
    Validation loss improved at epoch 0 over 1 year ago
  • adapter_model.safetensors
    88.7 MB
    xet
    Validation loss improved at epoch 0 over 1 year ago
  • added_tokens.json
    41 Bytes
    Training done over 1 year ago
  • chat_template.json
    695 Bytes
    Training done over 1 year ago
  • preprocessor_config.json
    772 Bytes
    Training done over 1 year ago
  • processor_config.json
    177 Bytes
    Training done over 1 year ago
  • special_tokens_map.json
    580 Bytes
    Training done over 1 year ago
  • tokenizer.json
    3.51 MB
    Training done over 1 year ago
  • tokenizer.model
    493 kB
    xet
    Training done over 1 year ago
  • tokenizer_config.json
    2.07 kB
    Training done over 1 year ago