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magicslabnu
/
GERM

Fill-Mask
Transformers
Safetensors
bert
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use magicslabnu/GERM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use magicslabnu/GERM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="magicslabnu/GERM", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("magicslabnu/GERM", trust_remote_code=True)
    model = AutoModelForMaskedLM.from_pretrained("magicslabnu/GERM", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
GERM
469 MB
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  • 2 contributors
History: 13 commits
robinzixuan's picture
robinzixuan
Update README.md
8e3cb7e verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.72 kB
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  • bert_layers.py
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  • bert_padding.py
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  • config.json
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  • configuration_bert.py
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  • flash_attn_triton.py
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  • generation_config.json
    69 Bytes
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  • model.safetensors
    468 MB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    286 kB
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  • tokenizer_config.json
    1.14 kB
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