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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a40bc94baa18fd0320357070fe4a304d342af7c4d200c326a2523a55d6d89fa
- Size of remote file:
- 784 kB
- SHA256:
- 16fc7412146e0cf515099112ee32d3399c5bf8890fc57b77216a8edb3118c488
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