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zai-org
/
glm-10b-chinese

Feature Extraction
Transformers
PyTorch
Chinese
glm
thudm
custom_code
Model card Files Files and versions
xet
Community
11

Instructions to use zai-org/glm-10b-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zai-org/glm-10b-chinese with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="zai-org/glm-10b-chinese", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("zai-org/glm-10b-chinese", trust_remote_code=True)
    model = AutoModel.from_pretrained("zai-org/glm-10b-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

#11 opened 9 months ago by
SFconvertbot

Bug Report

#10 opened about 2 years ago by
kxzxvbk

How to solve Model inference speed is too slow?

#9 opened almost 3 years ago by
lanshan

求助AttributeError: 'GLMModel' object has no attribute 'stream_chat'

#8 opened about 3 years ago by
rainstorm130

int4/8 quantization so that we can deploy on consumer-grid gpu card

1
#7 opened about 3 years ago by
Yhyu13

Is this trained the same way as 6B model, and the only difference is the model size?

1
#6 opened about 3 years ago by
huashiyiqike

Cannot find mask token in the input 的错误

#4 opened about 3 years ago by
LZM2bobo

Support accelerate for GLM

#2 opened about 3 years ago by
larrylawl

RuntimeError: expected self and mask to be on the same device, but got mask on cpu and self on cuda:0

4
#1 opened about 3 years ago by
bupalinyu
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