Instructions to use ranjankn/gpad-v1-entropy-taskA-sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ranjankn/gpad-v1-entropy-taskA-sample with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ranjankn/gpad-v1-entropy-taskA-sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b912975de9c6e1c3bc7fcba721c291efd52ae94f3bb508645804ec61197ce47
- Size of remote file:
- 5.43 kB
- SHA256:
- affd107aa6b101677643b7122658d4733fe6e7876d1127fd94dfcd5a06cf70c6
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