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nikravan
/
glm-4vq

Document Question Answering
Transformers
Safetensors
chatglm
feature-extraction
text-generation-inference
custom_code
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community
8

Instructions to use nikravan/glm-4vq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nikravan/glm-4vq with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="nikravan/glm-4vq", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nikravan/glm-4vq", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Sample example does not work.

#8 opened about 1 year ago by
hitoruna

Some modules are dispatched on the CPU or the disk

#7 opened over 1 year ago by
chamy

dependency compatibility

1
#5 opened over 1 year ago by
mdicio

got an unexpected keyword argument 'standardize_cache_format'

👍 1
#4 opened over 1 year ago by
CCChen

Pipeline not working

#3 opened almost 2 years ago by
lucabot

May I ask how the quantification is achieved?

1
#2 opened almost 2 years ago by
alexwww94

ValueError: too many values to unpack (expected 2)

1
#1 opened almost 2 years ago by
vivasvan100
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