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hapandya
/
indic-hi-bn-MLM

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

Instructions to use hapandya/indic-hi-bn-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hapandya/indic-hi-bn-MLM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="hapandya/indic-hi-bn-MLM")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("hapandya/indic-hi-bn-MLM")
    model = AutoModelForMaskedLM.from_pretrained("hapandya/indic-hi-bn-MLM")
  • Notebooks
  • Google Colab
  • Kaggle
indic-hi-bn-MLM
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  • 1 contributor
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
e3db766 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    20 Bytes
    initial commit over 2 years ago
  • config.json
    833 Bytes
    indic-hi-bn-MLM over 2 years ago
  • model.safetensors
    133 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    133 MB
    xet
    indic-hi-bn-MLM over 2 years ago
  • special_tokens_map.json
    244 Bytes
    Upload 4 files over 2 years ago
  • spiece.model
    5.65 MB
    xet
    Upload 4 files over 2 years ago
  • tokenizer.json
    8.88 MB
    Upload 4 files over 2 years ago
  • tokenizer_config.json
    470 Bytes
    Upload 4 files over 2 years ago
  • training_args.bin
    2.74 kB
    xet
    indic-hi-bn-MLM over 2 years ago