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:
- 504ccf88ff929776432204083ff35154ec8580bcec81d7a6dc914ffffdeb942d
- Size of remote file:
- 486 kB
- SHA256:
- d06985bf02c880acb6fe126cf49167fb3e630b47c38fcba767fcd7c1677435e0
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