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JerryWu
/
GLM6BTalk-model

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

Instructions to use JerryWu/GLM6BTalk-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JerryWu/GLM6BTalk-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="JerryWu/GLM6BTalk-model", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("JerryWu/GLM6BTalk-model", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GLM6BTalk-model
4.06 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
JerryWu's picture
JerryWu
Upload ChatGLMForConditionalGeneration
9e16e86 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    803 Bytes
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • configuration_chatglm.py
    4.06 kB
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • generation_config.json
    142 Bytes
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • modeling_chatglm.py
    52.1 kB
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • pytorch_model.bin
    4.06 GB
    xet
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • quantization.py
    28.5 kB
    Upload ChatGLMForConditionalGeneration about 3 years ago