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dingodb
/
chatglm-tuning

Feature Extraction
Transformers
PyTorch
chatglm
custom_code
Model card Files Files and versions
xet
Community

Instructions to use dingodb/chatglm-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dingodb/chatglm-tuning with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="dingodb/chatglm-tuning", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("dingodb/chatglm-tuning", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
chatglm-tuning / examples
853 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dingodb's picture
dingodb
Add Demos about ChatGLM
8fa2c17 over 2 years ago
  • ChatGLM2-Demo.py
    413 Bytes
    Add Demos about ChatGLM over 2 years ago
  • DownloadChatGLM.py
    440 Bytes
    Add Demos about ChatGLM over 2 years ago