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hiba2
/
results

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

Instructions to use hiba2/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hiba2/results with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("hiba2/results")
    model = AutoModelForSeq2SeqLM.from_pretrained("hiba2/results", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
results
1.14 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
hiba2's picture
hiba2
End of training
d84e1b5 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.34 kB
    End of training over 2 years ago
  • config.json
    820 Bytes
    End of training over 2 years ago
  • generation_config.json
    117 Bytes
    End of training over 2 years ago
  • model.safetensors
    1.13 GB
    xet
    End of training over 2 years ago
  • special_tokens_map.json
    416 Bytes
    End of training over 2 years ago
  • spiece.model
    2.44 MB
    xet
    End of training over 2 years ago
  • tokenizer.json
    7.77 MB
    End of training over 2 years ago
  • tokenizer_config.json
    861 Bytes
    End of training over 2 years ago
  • training_args.bin
    4.98 kB
    xet
    End of training over 2 years ago