Instructions to use Kudod/mt5-en-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kudod/mt5-en-vi with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Kudod/mt5-en-vi") model = AutoModelForSeq2SeqLM.from_pretrained("Kudod/mt5-en-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kudod/mt5-en-vi: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/Kudod/mt5-en-vi/resolve/main/training_args.bin
- Command line
-
hf download hf://Kudod/mt5-en-vi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kudod/mt5-en-vi/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- d0a54b2a8df2dda80f8bd89ab669061e566263d1cbdcfaa23dda90ffbb26d9fd
- Size of remote file:
- 5.84 kB
- SHA256:
- ea2265e2bf4a3d8dda4e083d0ed45b9a2edf83771e4d36b7019d104b366b5148
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