Instructions to use hungphongtrn/vi_en_vinai-translate-vi2en-v2_half_doc_news_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_half_doc_news_train with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hungphongtrn/vi_en_vinai-translate-vi2en-v2_half_doc_news_train") model = AutoModelForMultimodalLM.from_pretrained("hungphongtrn/vi_en_vinai-translate-vi2en-v2_half_doc_news_train") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dba2f772cca8e3b62e96b7808d4f4276ce233bd222fc45460df3a2ba645c327d
- Size of remote file:
- 4.46 kB
- SHA256:
- 87c7c15877f45ed44125094a6fe9ca174c017be357c7f075f56904bc342e04bd
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