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Shushant
/
NepNewsBERT

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

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

  • Libraries
  • Transformers

    How to use Shushant/NepNewsBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Shushant/NepNewsBERT")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Shushant/NepNewsBERT")
    model = AutoModelForMaskedLM.from_pretrained("Shushant/NepNewsBERT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NepNewsBERT
1.32 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
Shushant Pudasaini
updated model card
698130b almost 5 years ago
  • .gitattributes
    1.18 kB
    initial commit almost 5 years ago
  • README.md
    657 Bytes
    updated model card almost 5 years ago
  • config.json
    589 Bytes
    added model almost 5 years ago
  • optimizer.pt
    876 MB
    xet
    added model almost 5 years ago
  • pytorch_model.bin
    438 MB
    xet
    added model almost 5 years ago
  • rng_state.pth
    14.5 kB
    xet
    added model almost 5 years ago
  • scheduler.pt
    623 Bytes
    xet
    added model almost 5 years ago
  • trainer_state.json
    349 kB
    added model almost 5 years ago
  • training_args.bin
    2.8 kB
    xet
    added model almost 5 years ago
  • vocab.txt
    600 kB
    added tokenizer almost 5 years ago