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damgomz
/
BERTrand_bs64_lr5_MLM

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

Instructions to use damgomz/BERTrand_bs64_lr5_MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use damgomz/BERTrand_bs64_lr5_MLM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="damgomz/BERTrand_bs64_lr5_MLM")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("damgomz/BERTrand_bs64_lr5_MLM")
    model = AutoModelForMaskedLM.from_pretrained("damgomz/BERTrand_bs64_lr5_MLM")
  • Notebooks
  • Google Colab
  • Kaggle
BERTrand_bs64_lr5_MLM
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  • 1 contributor
History: 79 commits
damgomz's picture
damgomz
Upload tokenizer
468fccf verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.48 kB
    Upload README.md with huggingface_hub about 2 years ago
  • config.json
    826 Bytes
    Upload AlbertForMaskedLM about 2 years ago
  • model.safetensors
    44.9 MB
    xet
    Upload AlbertForMaskedLM about 2 years ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.27 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.22 kB
    Upload tokenizer about 2 years ago