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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based: direct link, hf CLI and curl.
- Browser
- Download file 232 Bytes
-
https://huggingface.co/phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based/resolve/main/tokenizer_config.json
232 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<bos>", | |
| "eos_token": "<eos>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>" | |
| } | |