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mahesh27
/
vedicberta-base

Fill-Mask
Transformers
PyTorch
Sanskrit
roberta
Model card Files Files and versions
xet
Community
2

Instructions to use mahesh27/vedicberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mahesh27/vedicberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="mahesh27/vedicberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("mahesh27/vedicberta-base")
    model = AutoModelForMaskedLM.from_pretrained("mahesh27/vedicberta-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vedicberta-base
407 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
mahesh27's picture
mahesh27
Update README.md
6b69768 verified 18 days ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    874 Bytes
    Update README.md 18 days ago
  • config.json
    681 Bytes
    Upload 5 files about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    406 MB
    xet
    Upload 5 files about 2 years ago
  • special_tokens_map.json
    153 Bytes
    Upload 5 files about 2 years ago
  • tokenizer.json
    795 kB
    Upload 5 files about 2 years ago
  • tokenizer_config.json
    199 Bytes
    Upload 5 files about 2 years ago