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syssec-utd
/
py312-pylingual-v1-segmenter

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

Instructions to use syssec-utd/py312-pylingual-v1-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use syssec-utd/py312-pylingual-v1-segmenter with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="syssec-utd/py312-pylingual-v1-segmenter")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py312-pylingual-v1-segmenter")
    model = AutoModelForTokenClassification.from_pretrained("syssec-utd/py312-pylingual-v1-segmenter")
  • Notebooks
  • Google Colab
  • Kaggle
py312-pylingual-v1-segmenter
Ctrl+K
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  • 1 contributor
History: 5 commits

This model has 1 file scanned as unsafe.

lc10934's picture
lc10934
Trained on syssec-utd/segmentation-py312-pylingual-v1-tokenized using syssec-utd/py312-pylingual-v1-mlm
70caa2e verified over 1 year ago
  • runs
    Model save over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.89 kB
    Trained on syssec-utd/segmentation-py312-pylingual-v1-tokenized using syssec-utd/py312-pylingual-v1-mlm over 1 year ago
  • config.json
    828 Bytes
    Training in progress, epoch 1 over 1 year ago
  • model.safetensors
    434 MB
    xet
    Training in progress, epoch 2 over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 over 1 year ago
  • tokenizer.json
    1.22 MB
    Training in progress, epoch 1 over 1 year ago
  • tokenizer_config.json
    1.17 kB
    Training in progress, epoch 1 over 1 year ago
  • training_args.bin
    5.5 kB
    xet
    Training in progress, epoch 1 over 1 year ago