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:
- 41511e06aff86409abfc336092e17a786f8aee594e768c6c19ad55fdfd4a830e
- Size of remote file:
- 16.3 MB
- SHA256:
- b750506e8d37d847db67c0541ebbedbfd426381d112543c653afbb85f65e51e4
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