Instructions to use hungphongtrn/vi_en_vinai-translate-vi2en-v2_conv_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungphongtrn/vi_en_vinai-translate-vi2en-v2_conv_train with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hungphongtrn/vi_en_vinai-translate-vi2en-v2_conv_train") model = AutoModelForMultimodalLM.from_pretrained("hungphongtrn/vi_en_vinai-translate-vi2en-v2_conv_train") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a94bc668c4b5ddf37e2c5dd213e97003ab0610671674420ae99e625f2ceb4f2a
- Size of remote file:
- 4.46 kB
- SHA256:
- b0ecb9a7b7109192d2c6cb2ef2b026fab51f44a20e0d38840435605a7336882c
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