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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e427ae1fc68d8a8267f5067cf7c2793b25b983257febae33477e98c7d529bbca
- Size of remote file:
- 623 Bytes
- SHA256:
- 754557b2e1c986c2e62e6b47ad144334bb6b93447646ed095ba08b0e75a0e894
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