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Nozomi7
/
mozi2-6b

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

Instructions to use Nozomi7/mozi2-6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Nozomi7/mozi2-6b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Nozomi7/mozi2-6b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Nozomi7/mozi2-6b", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mozi2-6b
12.5 GB
Ctrl+K
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  • 2 contributors
History: 2 commits
Nozomi7's picture
Nozomi7
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8255aef over 2 years ago
  • .DS_Store
    6.15 kB
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.48 kB
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  • configuration_chatglm.py
    2.33 kB
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  • modeling_chatglm.py
    55.6 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.HalfStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    12.5 GB
    xet
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  • quantization.py
    14.7 kB
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  • tokenization_chatglm.py
    11.3 kB
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  • tokenizer.model
    1.02 MB
    xet
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  • tokenizer_config.json
    325 Bytes
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