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:
- 5449f8c16ca550adf65beea955e5f449a89e9df43813baa1fc35402d567be9d4
- Size of remote file:
- 3.12 kB
- SHA256:
- a02bf23da7afc28d570c04f23ad7826d5bbcc2fae651c563347340bfb7247e54
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