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mpalaval
/
assignment2_meher_test3

Token Classification
Transformers
PyTorch
bert
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use mpalaval/assignment2_meher_test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mpalaval/assignment2_meher_test3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="mpalaval/assignment2_meher_test3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mpalaval/assignment2_meher_test3")
    model = AutoModelForTokenClassification.from_pretrained("mpalaval/assignment2_meher_test3")
  • Notebooks
  • Google Colab
  • Kaggle
assignment2_meher_test3
863 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
a1a3831 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.36 kB
    Training complete over 2 years ago
  • config.json
    1.09 kB
    Training in progress, epoch 1 over 2 years ago
  • model.safetensors
    431 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    431 MB
    xet
    Training complete over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 over 2 years ago
  • tokenizer.json
    669 kB
    Training in progress, epoch 1 over 2 years ago
  • tokenizer_config.json
    1.19 kB
    Training in progress, epoch 1 over 2 years ago
  • training_args.bin
    4.6 kB
    xet
    Training in progress, epoch 1 over 2 years ago
  • vocab.txt
    213 kB
    Training in progress, epoch 1 over 2 years ago