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xl2533
/
full_fin_cot_qa_trans_40k_long

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

Instructions to use xl2533/full_fin_cot_qa_trans_40k_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xl2533/full_fin_cot_qa_trans_40k_long with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="xl2533/full_fin_cot_qa_trans_40k_long", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("xl2533/full_fin_cot_qa_trans_40k_long", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
full_fin_cot_qa_trans_40k_long
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  • 1 contributor
History: 2 commits
xl2533's picture
xl2533
Upload ChatGLMForConditionalGeneration
637cc41 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    903 Bytes
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • configuration_chatglm.py
    4.28 kB
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • generation_config.json
    142 Bytes
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • modeling_chatglm.py
    57.6 kB
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • pytorch_model-00001-of-00002.bin
    9.93 GB
    xet
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • pytorch_model-00002-of-00002.bin
    3.49 GB
    xet
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • pytorch_model.bin.index.json
    33.4 kB
    Upload ChatGLMForConditionalGeneration about 3 years ago
  • quantization.py
    15.1 kB
    Upload ChatGLMForConditionalGeneration about 3 years ago