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
File size: 230 Bytes
225ccbf | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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
}
|