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zai-org
/
glm-large-chinese

Feature Extraction
Transformers
PyTorch
Chinese
glm
thudm
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use zai-org/glm-large-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zai-org/glm-large-chinese with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="zai-org/glm-large-chinese", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("zai-org/glm-large-chinese", trust_remote_code=True)
    model = AutoModel.from_pretrained("zai-org/glm-large-chinese", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened over 1 year ago by
SFconvertbot

Why doesn't `glm-large-chinese` support `SequenceClassification` ?

#2 opened almost 3 years ago by
CeroShrijver

Inquiries regarding implementation details

#1 opened about 3 years ago by
LemonNoel
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