Instructions to use hungphongtrn/en_vi_mt5-base_conv_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungphongtrn/en_vi_mt5-base_conv_train with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hungphongtrn/en_vi_mt5-base_conv_train") model = AutoModelForMultimodalLM.from_pretrained("hungphongtrn/en_vi_mt5-base_conv_train") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc0a12cfa78eecdeb94721cc21793bd6f255448fb3e6afa0d3c158e8dd3efb44
- Size of remote file:
- 2.33 GB
- SHA256:
- 652fe79f6a4e4b62c7981602046e83d59db13bbedd25fa059d83f82f53cd6936
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