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 config.json from KanWasTaken/EN-VI-Machine-Translation-RNN: direct link, hf CLI and curl.
- Browser
- Download file 230 Bytes
-
https://huggingface.co/KanWasTaken/EN-VI-Machine-Translation-RNN/resolve/main/config.json
- Command line
-
hf download hf://KanWasTaken/EN-VI-Machine-Translation-RNN/config.json
-
curl -L -o config.json https://huggingface.co/KanWasTaken/EN-VI-Machine-Translation-RNN/resolve/main/config.json
230 Bytes
| { | |
| "architectures": [ | |
| "Seq2SeqRNNModel" | |
| ], | |
| "dropout": 0.1, | |
| "embed_dim": 128, | |
| "hidden_dim": 128, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.47.0", | |
| "vocab_size_ipt": 15000, | |
| "vocab_size_label": 15000 | |
| } | |