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hduc-le
/
VyT5-SentToken-Classification-ep-1

Token Classification
Transformers
PyTorch
t5
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use hduc-le/VyT5-SentToken-Classification-ep-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hduc-le/VyT5-SentToken-Classification-ep-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="hduc-le/VyT5-SentToken-Classification-ep-1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hduc-le/VyT5-SentToken-Classification-ep-1")
    model = AutoModelForTokenClassification.from_pretrained("hduc-le/VyT5-SentToken-Classification-ep-1")
  • Notebooks
  • Google Colab
  • Kaggle
VyT5-SentToken-Classification-ep-1
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  • 1 contributor
History: 3 commits
hduc-le's picture
hduc-le
Upload model_token_cls.ipynb
57010c7 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    852 Bytes
    Upload ViT5ForTokenClassification over 2 years ago
  • model_token_cls.ipynb
    23.9 kB
    Upload model_token_cls.ipynb over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    909 MB
    xet
    Upload ViT5ForTokenClassification over 2 years ago