Instructions to use eunyounglee/mBART_tokenizer_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/mBART_tokenizer_custom with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/mBART_tokenizer_custom") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/mBART_tokenizer_custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Eunyoung Lee commited on
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Parent(s): 0344071
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README.md
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# mBART_tokenizer_custom
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.0045
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- Bleu: 78.9009
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# mBART_tokenizer_custom
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the 한국어 방언 발화(경상도) dataset from AI Hub.
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It achieves the following results on the evaluation set:
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- Loss: 0.0045
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- Bleu: 78.9009
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