Instructions to use VTaPo/en_vi_translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VTaPo/en_vi_translation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VTaPo/en_vi_translation") model = AutoModelForSeq2SeqLM.from_pretrained("VTaPo/en_vi_translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 12000
Browse files
pytorch_model.bin
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runs/Jun07_11-27-23_3aebcea035dc/events.out.tfevents.1686137248.3aebcea035dc.950.0
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