Instructions to use haotieu/en-vi-mt-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haotieu/en-vi-mt-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("haotieu/en-vi-mt-model") model = AutoModelForSeq2SeqLM.from_pretrained("haotieu/en-vi-mt-model") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Helsinki-NLP/opus-mt-en-vi
- This model is a fine-tune checkpoint of Helsinki-NLP/opus-mt-en-vi.
- This model reaches BLEU score = 33.086 on the test set of IWSLT'15 English-Vietnamese data.
Fine-tuning hyper-parameters
- learning_rate = 1e-4
- batch_size = 4
- num_train_epochs = 3.0
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