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luisarmando
/
mt5-large-es-nah

Translation
Transformers
Safetensors
Spanish
nah
multilingual
mt5
text2text-generation
PyTorch
Model card Files Files and versions
xet
Community

Instructions to use luisarmando/mt5-large-es-nah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use luisarmando/mt5-large-es-nah with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" 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("translation", model="luisarmando/mt5-large-es-nah")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("luisarmando/mt5-large-es-nah")
    model = AutoModelForSeq2SeqLM.from_pretrained("luisarmando/mt5-large-es-nah")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-large-es-nah
4.92 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 21 commits
luisarmando's picture
luisarmando
Update README.md
aac654d verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    4.64 kB
    Update README.md about 2 years ago
  • config.json
    922 Bytes
    Upload MT5ForConditionalGeneration about 2 years ago
  • generation_config.json
    186 Bytes
    Upload MT5ForConditionalGeneration about 2 years ago
  • model.safetensors
    4.92 GB
    xet
    Upload MT5ForConditionalGeneration about 2 years ago
  • special_tokens_map.json
    416 Bytes
    Upload tokenizer about 2 years ago
  • spiece.model
    4.31 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    833 Bytes
    Upload tokenizer about 2 years ago