Instructions to use thedeba/mt5v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thedeba/mt5v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("thedeba/mt5v2") model = AutoModelForSeq2SeqLM.from_pretrained("thedeba/mt5v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08100c2b1a88b3092b8719dcae5c6db651f08623afb37613cdc1eacc9566e543
- Size of remote file:
- 16.3 MB
- SHA256:
- 5de7453b1309f7241e117df9ead8cc32ba5be57f2cbb84ecaef05cdc420a4c54
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