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l3cube-pune
/
hindi-marathi-dev-bert-scratch

Fill-Mask
Transformers
PyTorch
Hindi
Marathi
multilingual
bert
Model card Files Files and versions
xet
Community
2

Instructions to use l3cube-pune/hindi-marathi-dev-bert-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use l3cube-pune/hindi-marathi-dev-bert-scratch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="l3cube-pune/hindi-marathi-dev-bert-scratch")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hindi-marathi-dev-bert-scratch")
    model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/hindi-marathi-dev-bert-scratch")
  • Notebooks
  • Google Colab
  • Kaggle
hindi-marathi-dev-bert-scratch
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  • 2 contributors
History: 12 commits
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SFconvertbot
Adding `safetensors` variant of this model
ec014d2 verified over 1 year ago
  • .gitattributes
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    Adding `safetensors` variant of this model over 1 year ago
  • README.md
    3.14 kB
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  • config.json
    655 Bytes
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  • model.safetensors
    652 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.LongStorage"

    What is a pickle import?

    652 MB
    xet
    Update model files over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Update model files over 3 years ago
  • tokenizer.json
    3.39 MB
    xet
    Update model files over 3 years ago
  • tokenizer_config.json
    419 Bytes
    Update tokenizer_config.json about 3 years ago
  • vocab.txt
    1.8 MB
    Update model files over 3 years ago