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Vanbitcase
/
email_action_adapter1

Transformers
Safetensors
English
text-generation-inference
unsloth
gemma2
trl
Model card Files Files and versions
xet
Community

Instructions to use Vanbitcase/email_action_adapter1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Vanbitcase/email_action_adapter1 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Vanbitcase/email_action_adapter1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
email_action_adapter1
2.66 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Vanbitcase's picture
Vanbitcase
Upload model trained with Unsloth
93c3a23 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    579 Bytes
    Upload README.md with huggingface_hub about 1 year ago
  • adapter_config.json
    938 Bytes
    Upload model trained with Unsloth about 1 year ago
  • adapter_model.safetensors
    2.66 GB
    xet
    Upload model trained with Unsloth about 1 year ago