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: 281 Bytes
e313ce0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"architectures": [
"Seq2SeqTransformerModel"
],
"d_model": 256,
"dropout": 0.1,
"dtype": "float32",
"max_seq_length": 75,
"num_heads": 8,
"num_layers": 6,
"transformers_version": "5.1.0",
"vocab_size_src": 15000,
"vocab_size_tgt": 13684
}
|