Instructions to use phuvo05/En-Vi-Neural-Machine-Translation-using-GRU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phuvo05/En-Vi-Neural-Machine-Translation-using-GRU with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("phuvo05/En-Vi-Neural-Machine-Translation-using-GRU", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
tokenizer.json
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<bos>",
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"eos_token": "<eos>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "<unk>"
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}
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