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avecoder
/
mt5-small-finetuned-amazon-en-es

Summarization
Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use avecoder/mt5-small-finetuned-amazon-en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use avecoder/mt5-small-finetuned-amazon-en-es with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="avecoder/mt5-small-finetuned-amazon-en-es")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("avecoder/mt5-small-finetuned-amazon-en-es")
    model = AutoModelForSeq2SeqLM.from_pretrained("avecoder/mt5-small-finetuned-amazon-en-es")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-small-finetuned-amazon-en-es / runs
18.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
avecoder's picture
avecoder
Training complete
41f472c about 3 years ago
  • Jun25_12-02-20_b0a4e331d668
    Training in progress, step 500 about 3 years ago
  • Jun26_17-06-31_b20d0e7afc74
    Training complete about 3 years ago