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google
/
muril-large-cased

Feature Extraction
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
2

Instructions to use google/muril-large-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/muril-large-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="google/muril-large-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("google/muril-large-cased")
    model = AutoModel.from_pretrained("google/muril-large-cased")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
muril-large-cased
2.03 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
simran-kh's picture
simran-kh
Update config.json
ace319f over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    7.08 kB
    Create README.md over 4 years ago
  • config.json
    406 Bytes
    Update config.json over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    2.03 GB
    xet
    initial_commit over 4 years ago
  • special_tokens_map.json
    112 Bytes
    initial_commit over 4 years ago
  • tokenizer_config.json
    181 Bytes
    initial_commit over 4 years ago
  • vocab.txt
    3.16 MB
    initial_commit over 4 years ago