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ml233
/
no_position_embedding_prompt_tuning_attention_forecasting_long_ETTh2

Transformers
Safetensors
model_hub_mixin
pytorch_model_hub_mixin
Model card Files Files and versions
xet
Community

Instructions to use ml233/no_position_embedding_prompt_tuning_attention_forecasting_long_ETTh2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ml233/no_position_embedding_prompt_tuning_attention_forecasting_long_ETTh2 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ml233/no_position_embedding_prompt_tuning_attention_forecasting_long_ETTh2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
no_position_embedding_prompt_tuning_attention_forecasting_long_ETTh2
1.48 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ml233's picture
ml233
Push model using huggingface_hub.
29e6fcc verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    320 Bytes
    Push model using huggingface_hub. almost 2 years ago
  • config.json
    270 Bytes
    Push model using huggingface_hub. almost 2 years ago
  • model.safetensors
    1.48 GB
    xet
    Push model using huggingface_hub. almost 2 years ago