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EasonLing
/
gemma-product-description

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

Instructions to use EasonLing/gemma-product-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use EasonLing/gemma-product-description with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("EasonLing/gemma-product-description", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-product-description
1.65 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
EasonLing's picture
EasonLing
Training in progress, epoch 3
447ef4d verified 2 months ago
  • runs
    Training in progress, epoch 3 2 months ago
  • .gitattributes
    1.57 kB
    Training in progress, epoch 1 2 months ago
  • README.md
    1.44 kB
    Training in progress, epoch 1 2 months ago
  • adapter_config.json
    1.09 kB
    Training in progress, epoch 1 2 months ago
  • adapter_model.safetensors
    1.62 GB
    xet
    Training in progress, epoch 3 2 months ago
  • chat_template.jinja
    18.6 kB
    Training in progress, epoch 1 2 months ago
  • processor_config.json
    1.69 kB
    Training in progress, epoch 1 2 months ago
  • tokenizer.json
    32.2 MB
    xet
    Training in progress, epoch 1 2 months ago
  • tokenizer_config.json
    3.73 kB
    Training in progress, epoch 1 2 months ago
  • training_args.bin
    5.78 kB
    xet
    Training in progress, epoch 1 2 months ago