Instructions to use Waynehillsdev/Wayne_NLP_mT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Waynehillsdev/Wayne_NLP_mT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Waynehillsdev/Wayne_NLP_mT5") model = AutoModelForSeq2SeqLM.from_pretrained("Waynehillsdev/Wayne_NLP_mT5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e420120e32aa1284179c02ded15d1613bb3f3e6b17d09301c67515bb28d78dc
- Size of remote file:
- 16.3 MB
- SHA256:
- f3c85985577e031f7a80690c09af3a606000569a23f4883950326e182ad7db64
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