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JayBDev
/
dummy-disregard

Fill-Mask
Transformers
Safetensors
camembert
Model card Files Files and versions
xet
Community

Instructions to use JayBDev/dummy-disregard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JayBDev/dummy-disregard with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="JayBDev/dummy-disregard")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("JayBDev/dummy-disregard")
    model = AutoModelForMaskedLM.from_pretrained("JayBDev/dummy-disregard")
  • Notebooks
  • Google Colab
  • Kaggle
dummy-disregard
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  • 2 contributors
History: 7 commits
JayBDev's picture
JayBDev
Upload CamembertForMaskedLM
0f3c432 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • .gitignore
    18 Bytes
    Add model about 2 years ago
  • README.md
    17 Bytes
    Upload CamembertForMaskedLM about 2 years ago
  • added_tokens.json
    28 Bytes
    Add model about 2 years ago
  • config.json
    701 Bytes
    Add model about 2 years ago
  • model.safetensors
    443 MB
    xet
    Add model about 2 years ago
  • new_file.txt
    8 Bytes
    Created new_file.txt about 2 years ago
  • sentencepiece.bpe.model
    811 kB
    xet
    Add model about 2 years ago
  • special_tokens_map.json
    374 Bytes
    Add model about 2 years ago
  • tokenizer.json
    2.42 MB
    Add model about 2 years ago
  • tokenizer_config.json
    1.76 kB
    Add model about 2 years ago
  • train.ipynb
    3.82 kB
    Add model about 2 years ago