Instructions to use JoseLuis95/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoseLuis95/mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JoseLuis95/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("JoseLuis95/mt5-base") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files- README.md +1 -3
- training_args.bin +2 -2
README.md
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license: apache-2.0
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base_model: google/mt5-base
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tags:
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- simplification
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- generated_from_trainer
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# mt5-base
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This model
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It achieves the following results on the evaluation set:
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- Loss: 7.2943
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- Bleu: 0.5766
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---
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tags:
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- simplification
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- generated_from_trainer
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# mt5-base
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.2943
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- Bleu: 0.5766
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training_args.bin
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size 4856
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