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:
- 2ca77d221cc6567ed07b88b9e9732c1c232cfb20948be2b326e784cd5b3096cb
- Size of remote file:
- 2.33 GB
- SHA256:
- db4bb11e2daac0063fa7c5f633781afae5609d3f423c9f48d6d51317209b1077
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