Instructions to use KanWasTaken/EN-VI-Machine-Translation-RNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KanWasTaken/EN-VI-Machine-Translation-RNN with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KanWasTaken/EN-VI-Machine-Translation-RNN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from KanWasTaken/EN-VI-Machine-Translation-RNN: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/KanWasTaken/EN-VI-Machine-Translation-RNN/resolve/main/training_args.bin
- Command line
-
hf download hf://KanWasTaken/EN-VI-Machine-Translation-RNN/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/KanWasTaken/EN-VI-Machine-Translation-RNN/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 8fc5fc15a8a73e7f8cc113d54ffa0db24a962e296a2ed1967f8955c12e785d23
- Size of remote file:
- 5.24 kB
- SHA256:
- 42e087fb74a345090ebf9392a9de6e9411aebed501d9db7061affde8b69548d6
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