Instructions to use phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based 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-Transformers-based with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 232 Bytes
7c5f44a | 1 2 3 4 5 6 7 8 9 10 | {
"backend": "tokenizers",
"bos_token": "<bos>",
"eos_token": "<eos>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>"
}
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