Instructions to use Jingya/tiny-random-t5-neuronx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jingya/tiny-random-t5-neuronx with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jingya/tiny-random-t5-neuronx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 981a261e5a3ceab4b998ae47a9d916f865049776b644e533553c89ff3ebe9cd1
- Size of remote file:
- 937 kB
- SHA256:
- 29bba6b4ab3e0d3a51f998c8e35887f7083a7d49c88322d2eb1d75930af66000
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