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tuandunghcmut
/
mt5_small_8x

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

Instructions to use tuandunghcmut/mt5_small_8x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tuandunghcmut/mt5_small_8x with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("tuandunghcmut/mt5_small_8x")
    model = AutoModelForSeq2SeqLM.from_pretrained("tuandunghcmut/mt5_small_8x", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.57 kB
    [Tokenizer] Best model - Eval 1 - Loss: 13.5077 10 months ago
  • README.md
    5.17 kB
    [Model] Best model - Eval 1 - Loss: 13.5077 10 months ago
  • config.json
    757 Bytes
    [Model] Best model - Eval 1 - Loss: 13.5077 10 months ago
  • generation_config.json
    152 Bytes
    [Model] Best model - Eval 1 - Loss: 13.5077 10 months ago
  • model.safetensors
    1.2 GB
    xet
    [Model] Best model - Eval 363 - Loss: 1.1190 10 months ago
  • special_tokens_map.json
    416 Bytes
    [Tokenizer] Best model - Eval 1 - Loss: 13.5077 10 months ago
  • spiece.model
    4.31 MB
    xet
    [Tokenizer] Best model - Eval 1 - Loss: 13.5077 10 months ago
  • tokenizer.json
    16.4 MB
    xet
    [Tokenizer] Best model - Eval 1 - Loss: 13.5077 10 months ago
  • tokenizer_config.json
    19.3 kB
    [Tokenizer] Best model - Eval 1 - Loss: 13.5077 10 months ago