Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Vanbitcase
/
email_action

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

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

  • Libraries
  • Transformers

    How to use Vanbitcase/email_action with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Vanbitcase/email_action", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
email_action
2.66 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Vanbitcase's picture
Vanbitcase
Delete tokenizer_config.json
8e5d90d verified about 1 year ago
  • .gitattributes
    1.57 kB
    Upload model trained with Unsloth about 1 year ago
  • README.md
    579 Bytes
    Upload README.md with huggingface_hub about 1 year ago
  • adapter_config.json
    937 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