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MLRS
/
mt5-small_sentiment-mlt

Transformers
TensorBoard
Safetensors
Maltese
mt5
text2text-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use MLRS/mt5-small_sentiment-mlt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MLRS/mt5-small_sentiment-mlt with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("MLRS/mt5-small_sentiment-mlt")
    model = AutoModelForSeq2SeqLM.from_pretrained("MLRS/mt5-small_sentiment-mlt")
  • Notebooks
  • Google Colab
  • Kaggle

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Gated model
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Preview of files found in this repository
  • config.json
    807 Bytes
    Model upload. 10 months ago
  • generation_config.json
    147 Bytes
    Model upload. 10 months ago
  • model.safetensors
    1.2 GB
    xet
    Model upload. 10 months ago
  • optimizer.pt
    2.88 MB
    xet
    Model upload. 10 months ago
  • rng_state.pth
    14.2 kB
    xet
    Model upload. 10 months ago
  • scheduler.pt
    1.06 kB
    xet
    Model upload. 10 months ago
  • special_tokens_map.json
    416 Bytes
    Model upload. 10 months ago
  • spiece.model
    4.31 MB
    xet
    Model upload. 10 months ago
  • tokenizer.json
    16.4 MB
    xet
    Model upload. 10 months ago
  • tokenizer_config.json
    19.3 kB
    Model upload. 10 months ago
  • trainer_state.json
    5.79 kB
    Model upload. 10 months ago
  • training_args.bin
    5.56 kB
    xet
    Model upload. 10 months ago