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:
- 3add831b032e83d07a90ce4ecebfb12d036b5d42d066e55d1663bcbf05e3639c
- Size of remote file:
- 2.33 GB
- SHA256:
- 36f8cf082e35cece4a45f99fb4182432f93fb46a3c7322a31d0b301fea0f5593
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