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hapandya
/
mBERT-hi-te-MLM

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

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

  • Libraries
  • Transformers

    How to use hapandya/mBERT-hi-te-MLM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="hapandya/mBERT-hi-te-MLM")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("hapandya/mBERT-hi-te-MLM")
    model = AutoModelForMaskedLM.from_pretrained("hapandya/mBERT-hi-te-MLM", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mBERT-hi-te-MLM
1.43 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
f688cf4 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    39 Bytes
    Create README.md almost 3 years ago
  • config.json
    841 Bytes
    mBERT-hi-te-MLM almost 3 years ago
  • model.safetensors
    712 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    712 MB
    xet
    mBERT-hi-te-MLM almost 3 years ago
  • special_tokens_map.json
    112 Bytes
    Upload 4 files almost 3 years ago
  • tokenizer.json
    1.96 MB
    Upload 4 files almost 3 years ago
  • tokenizer_config.json
    333 Bytes
    Upload 4 files almost 3 years ago
  • training_args.bin
    2.74 kB
    xet
    mBERT-hi-te-MLM almost 3 years ago
  • vocab.txt
    996 kB
    Upload 4 files almost 3 years ago