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syssec-utd
/
py313-pylingual-v1-statement

Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use syssec-utd/py313-pylingual-v1-statement with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py313-pylingual-v1-statement")
    model = AutoModelForSeq2SeqLM.from_pretrained("syssec-utd/py313-pylingual-v1-statement")
  • Notebooks
  • Google Colab
  • Kaggle
py313-pylingual-v1-statement / logs
135 kB
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  • 1 contributor
History: 60 commits
lc10934's picture
lc10934
Training in progress, step 599322
bfb3403 verified about 1 year ago
  • events.out.tfevents.1739697500.tacosec0.907896.0
    135 kB
    xet
    Training in progress, step 599322 about 1 year ago