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slone
/
canine-c-bashkir-gec-v1

Token Classification
Transformers
PyTorch
Bashkir
canine
grammatical error correction
Model card Files Files and versions
xet
Community
1

Instructions to use slone/canine-c-bashkir-gec-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use slone/canine-c-bashkir-gec-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="slone/canine-c-bashkir-gec-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("slone/canine-c-bashkir-gec-v1")
    model = AutoModelForTokenClassification.from_pretrained("slone/canine-c-bashkir-gec-v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
canine-c-bashkir-gec-v1
530 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
cointegrated's picture
cointegrated
Create README.md
6101dd6 almost 4 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 4 years ago
  • README.md
    2.49 kB
    Create README.md almost 4 years ago
  • config.json
    19.8 kB
    Upload CanineForTokenClassification almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    530 MB
    xet
    Upload CanineForTokenClassification almost 4 years ago
  • special_tokens_map.json
    816 Bytes
    Upload tokenizer almost 4 years ago
  • tokenizer_config.json
    1.32 kB
    Upload tokenizer almost 4 years ago