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arraypowerplay
/
mt5-small-amazon-reviews-es-en

Summarization
Transformers
Safetensors
mt5
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use arraypowerplay/mt5-small-amazon-reviews-es-en 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="arraypowerplay/mt5-small-amazon-reviews-es-en")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("arraypowerplay/mt5-small-amazon-reviews-es-en")
    model = AutoModelForSeq2SeqLM.from_pretrained("arraypowerplay/mt5-small-amazon-reviews-es-en")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-small-amazon-reviews-es-en
2.24 GB
Ctrl+K
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  • 1 contributor
History: 13 commits
arraypowerplay's picture
arraypowerplay
Training complete
b17595c verified 3 months ago
  • .gitattributes
    1.57 kB
    Training in progress, step 500 3 months ago
  • README.md
    1.86 kB
    Training complete 3 months ago
  • config.json
    803 Bytes
    Training in progress, step 500 3 months ago
  • generation_config.json
    907 Bytes
    Training complete 3 months ago
  • model.safetensors
    2.23 GB
    xet
    Training complete 3 months ago
  • tokenizer.json
    16 MB
    xet
    Training in progress, step 500 3 months ago
  • tokenizer_config.json
    2.69 kB
    Training in progress, step 500 3 months ago
  • training_args.bin
    5.33 kB
    xet
    Training complete 3 months ago