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NSTiwari
/
medgemma-finetuned

Transformers
TensorBoard
Safetensors
Generated from Trainer
trl
sft
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use NSTiwari/medgemma-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NSTiwari/medgemma-finetuned with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("NSTiwari/medgemma-finetuned", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
medgemma-finetuned
105 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
NSTiwari's picture
NSTiwari
Training in progress, step 63
29938b9 verified 9 months ago
  • runs
    Training in progress, step 63 9 months ago
  • .gitattributes
    1.57 kB
    Training in progress, step 63 9 months ago
  • README.md
    1.47 kB
    Training in progress, step 63 9 months ago
  • adapter_config.json
    932 Bytes
    Training in progress, step 63 9 months ago
  • adapter_model.safetensors
    65.7 MB
    xet
    Training in progress, step 63 9 months ago
  • added_tokens.json
    35 Bytes
    Training in progress, step 63 9 months ago
  • chat_template.jinja
    1.53 kB
    Training in progress, step 63 9 months ago
  • preprocessor_config.json
    570 Bytes
    Training in progress, step 63 9 months ago
  • processor_config.json
    70 Bytes
    Training in progress, step 63 9 months ago
  • special_tokens_map.json
    662 Bytes
    Training in progress, step 63 9 months ago
  • tokenizer.json
    33.4 MB
    xet
    Training in progress, step 63 9 months ago
  • tokenizer.model
    4.69 MB
    xet
    Training in progress, step 63 9 months ago
  • tokenizer_config.json
    1.16 MB
    Training in progress, step 63 9 months ago
  • training_args.bin
    6.16 kB
    xet
    Training in progress, step 63 9 months ago