Instructions to use Waynehillsdev/Wayne_mT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Waynehillsdev/Wayne_mT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Waynehillsdev/Wayne_mT5") model = AutoModelForSeq2SeqLM.from_pretrained("Waynehillsdev/Wayne_mT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c40f5128b8dcf1aa57449278269f2fbabe715356806cd3e5442358d3a54020c
- Size of remote file:
- 4.66 GB
- SHA256:
- 25afa9c899ccbd0e5faa580c1c2a052bcab5b7a3e6f69887b8d82c6478bc4808
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