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m-a-p
/
Kun-PrimaryChatModel

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

Instructions to use m-a-p/Kun-PrimaryChatModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m-a-p/Kun-PrimaryChatModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="m-a-p/Kun-PrimaryChatModel", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("m-a-p/Kun-PrimaryChatModel", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Kun-PrimaryChatModel
4.76 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
XiaoY1's picture
XiaoY1
Upload configuration_yi.py with huggingface_hub
bcb0bfd verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.47 kB
    Update README.md about 2 years ago
  • config.json
    811 Bytes
    Upload config.json with huggingface_hub about 2 years ago
  • configuration_yi.py
    5.47 kB
    Upload configuration_yi.py with huggingface_hub about 2 years ago
  • model-00013-of-00015.safetensors
    4.76 GB
    xet
    Upload model-00013-of-00015.safetensors with huggingface_hub about 2 years ago
  • tokenizer.model
    1.03 MB
    xet
    Upload tokenizer.model with huggingface_hub about 2 years ago
  • trainer_log.jsonl
    243 kB
    Upload trainer_log.jsonl with huggingface_hub about 2 years ago
  • trainer_state.json
    59.4 kB
    Upload trainer_state.json with huggingface_hub about 2 years ago