Instructions to use hadro/cde-smoke-v5data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadro/cde-smoke-v5data with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hadro/cde-smoke-v5data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9670e66534f66a4999c35e93711e29aa65bf93ac43a0f1f0dfaf3437e806a93
- Size of remote file:
- 5.71 kB
- SHA256:
- a15a7df056eade3912f5de768175e8a9826b48572c4236bc542cd825aed0e04a
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