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JacobLinCool
/
the-net

Feature Extraction
Transformers
Safetensors
the_net_omni
custom_code
multimodal
mixture-of-experts
weight-sharing
8-bit precision
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use JacobLinCool/the-net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JacobLinCool/the-net with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="JacobLinCool/the-net", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("JacobLinCool/the-net", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
the-net
2.52 TB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
JacobLinCool's picture
JacobLinCool
Move release notes into EXPERIMENT.md
dbd8c4c verified 4 days ago
  • shards
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  • .gitattributes
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  • EXPERIMENT.md
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  • LICENSE
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  • README.md
    2.56 kB
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  • __init__.py
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  • architecture.safetensors
    115 MB
    xet
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  • config.json
    3.19 kB
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  • configuration_omni.py
    3.47 kB
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  • constant_checkpoint.py
    2.16 kB
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  • initialization.st
    8.77 MB
    xet
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  • model.safetensors.index.json
    7.1 MB
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  • modeling_omni.py
    16.2 kB
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  • requirements.txt
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  • shared_checkpoint.py
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  • shared_storage_report.json
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  • special_tokens_map.json
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  • tensor_shapes.json
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  • tokenizer.json
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  • tokenizer_config.json
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