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rapminerz
/
WatiBERT-large-cased

Fill-Mask
Transformers
PyTorch
French
flaubert
music
rap
lyrics
bert
Model card Files Files and versions
xet
Community
1

Instructions to use rapminerz/WatiBERT-large-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rapminerz/WatiBERT-large-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="rapminerz/WatiBERT-large-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("rapminerz/WatiBERT-large-cased")
    model = AutoModelForMaskedLM.from_pretrained("rapminerz/WatiBERT-large-cased")
  • Notebooks
  • Google Colab
  • Kaggle
WatiBERT-large-cased
1.5 GB
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  • 2 contributors
History: 9 commits
rapminerz's picture
rapminerz
Update README.md
cb40ec4 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    3.48 kB
    Update README.md almost 2 years ago
  • config.json
    1.67 kB
    add model almost 2 years ago
  • merges.txt
    574 kB
    add model almost 2 years ago
  • pytorch_model.bin
    1.49 GB
    xet
    add model almost 2 years ago
  • special_tokens_map.json
    305 Bytes
    add model almost 2 years ago
  • tokenizer_config.json
    534 Bytes
    add model almost 2 years ago
  • vocab.json
    1.31 MB
    add model almost 2 years ago