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karakaka
/
statement-pydec-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 karakaka/statement-pydec-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use karakaka/statement-pydec-statement with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("karakaka/statement-pydec-statement")
    model = AutoModelForSeq2SeqLM.from_pretrained("karakaka/statement-pydec-statement", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
statement-pydec-statement
892 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
karakaka's picture
karakaka
0:26:18.166683
84c3ffb verified 10 months ago
  • logs
    Training in progress, step 6128 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    1.38 kB
    0:26:18.166683 10 months ago
  • config.json
    1.65 kB
    Training in progress, step 6128 10 months ago
  • generation_config.json
    163 Bytes
    Model save 10 months ago
  • merges.txt
    20 kB
    Training in progress, step 6128 10 months ago
  • model.safetensors
    892 MB
    xet
    Training in progress, step 6128 10 months ago
  • special_tokens_map.json
    30 kB
    Training in progress, step 6128 10 months ago
  • tokenizer_config.json
    181 kB
    Training in progress, step 6128 10 months ago
  • training_args.bin
    5.91 kB
    xet
    Training in progress, step 6128 10 months ago
  • vocab.json
    69.9 kB
    Training in progress, step 6128 10 months ago