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Amalq
/
flan-t5-dialogue

Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use Amalq/flan-t5-dialogue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Amalq/flan-t5-dialogue with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Amalq/flan-t5-dialogue")
    model = AutoModelForSeq2SeqLM.from_pretrained("Amalq/flan-t5-dialogue", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
flan-t5-dialogue
993 MB
Ctrl+K
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  • 1 contributor
History: 17 commits
Amalq's picture
Amalq
Update README.md
58f9391 over 3 years ago
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  • README.md
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  • config.json
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  • generation_config.json
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  • scheduler.pt
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  • special_tokens_map.json
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  • tokenizer.json
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  • trainer_state.json
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