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authoranonymous321
/
mt5_3B-teabreac-AQA_random

Transformers
PyTorch
mt5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use authoranonymous321/mt5_3B-teabreac-AQA_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use authoranonymous321/mt5_3B-teabreac-AQA_random with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("authoranonymous321/mt5_3B-teabreac-AQA_random")
    model = AutoModelForSeq2SeqLM.from_pretrained("authoranonymous321/mt5_3B-teabreac-AQA_random")
  • Notebooks
  • Google Colab
  • Kaggle
mt5_3B-teabreac-AQA_random
15 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
authoranonymous321's picture
authoranonymous321
Upload MT5ForConditionalGeneration
365cb9f almost 3 years ago
  • .gitattributes
    1.57 kB
    Upload tokenizer almost 3 years ago
  • config.json
    820 Bytes
    Upload MT5ForConditionalGeneration almost 3 years ago
  • generation_config.json
    142 Bytes
    Upload MT5ForConditionalGeneration almost 3 years ago
  • pytorch_model-00001-of-00002.bin
    7.94 GB
    xet
    Upload MT5ForConditionalGeneration almost 3 years ago
  • pytorch_model-00002-of-00002.bin
    7.03 GB
    xet
    Upload MT5ForConditionalGeneration almost 3 years ago
  • pytorch_model.bin.index.json
    50.7 kB
    Upload MT5ForConditionalGeneration almost 3 years ago
  • special_tokens_map.json
    74 Bytes
    Upload tokenizer almost 3 years ago
  • spiece.model
    4.31 MB
    xet
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    285 Bytes
    Upload tokenizer almost 3 years ago