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Amalq
/
flan_t5_large_chat_summary

Transformers
PyTorch
English
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Amalq/flan_t5_large_chat_summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Amalq/flan_t5_large_chat_summary with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Amalq/flan_t5_large_chat_summary")
    model = AutoModelForSeq2SeqLM.from_pretrained("Amalq/flan_t5_large_chat_summary")
  • Notebooks
  • Google Colab
  • Kaggle
flan_t5_large_chat_summary
3.14 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Amalq's picture
Amalq
Update README.md
d3e398b about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    986 Bytes
    Update README.md about 3 years ago
  • config.json
    787 Bytes
    Upload 4 files about 3 years ago
  • generation_config.json
    142 Bytes
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  • pytorch_model.bin
    3.13 GB
    xet
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  • special_tokens_map.json
    2.2 kB
    Upload 3 files about 3 years ago
  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    2.54 kB
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  • trainer_state.json
    738 Bytes
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  • training_args.bin
    3.63 kB
    xet
    Upload 4 files about 3 years ago