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Jsevisal
/
ft-roberta-gest-pred-seqeval-partialmatch

Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Jsevisal/ft-roberta-gest-pred-seqeval-partialmatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jsevisal/ft-roberta-gest-pred-seqeval-partialmatch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Jsevisal/ft-roberta-gest-pred-seqeval-partialmatch")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Jsevisal/ft-roberta-gest-pred-seqeval-partialmatch")
    model = AutoModelForTokenClassification.from_pretrained("Jsevisal/ft-roberta-gest-pred-seqeval-partialmatch")
  • Notebooks
  • Google Colab
  • Kaggle
ft-roberta-gest-pred-seqeval-partialmatch / runs
36.6 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
Jsevisal's picture
Jsevisal
Training complete
20dad92 about 3 years ago
  • Mar14_11-36-31_f06a6032bdbb
    Training complete about 3 years ago
  • Mar24_10-11-59_a659e1b4ec28
    Training complete about 3 years ago