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jdchang
/
test_rm_8b

Feature Extraction
Transformers
Safetensors
pairwise_rm
custom_code
Model card Files Files and versions
xet
Community

Instructions to use jdchang/test_rm_8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jdchang/test_rm_8b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jdchang/test_rm_8b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jdchang/test_rm_8b", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
test_rm_8b
32.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
jdchang's picture
jdchang
Update hf_utils.py
8007f5a verified 10 months ago
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