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jiaqihan99
/
llada-instruct-temp

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

Instructions to use jiaqihan99/llada-instruct-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jiaqihan99/llada-instruct-temp with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jiaqihan99/llada-instruct-temp", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jiaqihan99/llada-instruct-temp", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
llada-instruct-temp
32.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
jiaqihan99's picture
jiaqihan99
Upload tokenizer
3f1e4b5 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
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  • config.json
    1.57 kB
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  • configuration_llada.py
    12 kB
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  • generation_config.json
    121 Bytes
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  • model-00001-of-00007.safetensors
    4.96 GB
    xet
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  • model-00002-of-00007.safetensors
    4.97 GB
    xet
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  • model-00003-of-00007.safetensors
    4.83 GB
    xet
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  • model-00004-of-00007.safetensors
    4.83 GB
    xet
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  • model-00005-of-00007.safetensors
    4.97 GB
    xet
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  • model-00006-of-00007.safetensors
    4.97 GB
    xet
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  • model-00007-of-00007.safetensors
    2.54 GB
    xet
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  • model.safetensors.index.json
    24.9 kB
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  • modeling_llada.py
    60.7 kB
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  • special_tokens_map.json
    747 Bytes
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  • tokenizer.json
    6.1 MB
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  • tokenizer_config.json
    51.7 kB
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