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bigai
/
GS1-2B

Feature Extraction
Transformers
Safetensors
gs1
decision-model
custom_code
system-one
Model card Files Files and versions
xet
Community

Instructions to use bigai/GS1-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bigai/GS1-2B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="bigai/GS1-2B", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("bigai/GS1-2B", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GS1-2B
8.63 GB
Ctrl+K
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  • 3 contributors
History: 7 commits
Zilong Zheng
Update README
6c1eb17 about 20 hours ago
  • assets
    Update README about 20 hours ago
  • .gitattributes
    1.57 kB
    Upload GS1-2B checkpoint and inference files 1 day ago
  • LICENSE
    11.4 kB
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  • README.md
    13.4 kB
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  • chat_template.jinja
    2.44 kB
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  • compiler.py
    18 kB
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  • config.json
    3.7 kB
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  • model-00001-of-00003.safetensors
    4 GB
    xet
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  • model-00002-of-00003.safetensors
    4 GB
    xet
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  • model-00003-of-00003.safetensors
    617 MB
    xet
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  • model.safetensors.index.json
    56.9 kB
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  • modular_gs1.py
    51.6 kB
    Update README about 20 hours ago
  • preprocessor_config.json
    390 Bytes
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  • requirements.txt
    245 Bytes
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  • schema.py
    11 kB
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  • tokenizer.json
    20 MB
    xet
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  • tokenizer_config.json
    1.25 kB
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  • video_preprocessor_config.json
    385 Bytes
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