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adity12345
/
chakma-bert

Fill-Mask
Transformers
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use adity12345/chakma-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use adity12345/chakma-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="adity12345/chakma-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("adity12345/chakma-bert")
    model = AutoModelForMaskedLM.from_pretrained("adity12345/chakma-bert")
  • Notebooks
  • Google Colab
  • Kaggle
chakma-bert
716 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
adity12345's picture
adity12345
End of training
8d27c86 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    2.38 kB
    End of training 10 months ago
  • config.json
    775 Bytes
    Training in progress, epoch 1 10 months ago
  • model.safetensors
    712 MB
    xet
    Training in progress, epoch 18 10 months ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 10 months ago
  • tokenizer.json
    2.92 MB
    Training in progress, epoch 1 10 months ago
  • tokenizer_config.json
    1.22 kB
    Training in progress, epoch 1 10 months ago
  • training_args.bin
    5.78 kB
    xet
    Training in progress, epoch 1 10 months ago
  • vocab.txt
    996 kB
    Training in progress, epoch 1 10 months ago