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syssec-utd
/
py313-pylingual-v1.1-segmenter

Transformers
Safetensors
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use syssec-utd/py313-pylingual-v1.1-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use syssec-utd/py313-pylingual-v1.1-segmenter with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("syssec-utd/py313-pylingual-v1.1-segmenter", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
py313-pylingual-v1.1-segmenter
435 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
lc10934's picture
lc10934
Trained on syssec-utd/segmentation-py313-pylingual-v2-tokenized using syssec-utd/py313-pylingual-v1.1-mlm
ffc4a74 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    1.97 kB
    Trained on syssec-utd/segmentation-py313-pylingual-v2-tokenized using syssec-utd/py313-pylingual-v1.1-mlm 11 months ago
  • config.json
    772 Bytes
    Training in progress, epoch 1 11 months ago
  • model.safetensors
    434 MB
    xet
    Training in progress, epoch 2 11 months ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 11 months ago
  • tokenizer.json
    1.24 MB
    Training in progress, epoch 1 11 months ago
  • tokenizer_config.json
    1.17 kB
    Training in progress, epoch 1 11 months ago
  • training_args.bin
    5.43 kB
    xet
    Training in progress, epoch 1 11 months ago