Instructions to use ranjankn/gpad-v1-full-taskA-sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ranjankn/gpad-v1-full-taskA-sample with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ranjankn/gpad-v1-full-taskA-sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9d73fc29ee1f458238eb492ef28bd1263db6a3795651e868c5f8dcc63c7fc4a
- Size of remote file:
- 5.43 kB
- SHA256:
- 00af185a2258b90189c1a11f045c83ff6d9efc5879c1d137db4db0b6276c5562
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