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:
- 05bb014a9d3f926ad5762f6a2a2f80b458225c6fb5262c10245afcc3e013e0ca
- Size of remote file:
- 14.5 kB
- SHA256:
- b8f81f94a92a0923128e475b2f8ba70ed5f115017e7b0800393a997166de82d2
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