Instructions to use Suramya/L3Cube_Task_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suramya/L3Cube_Task_0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Suramya/L3Cube_Task_0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfc05ff7aac9a4a71c95744f4f146ca01b66966d24db6bafd6e4a8eff97f42d2
- Size of remote file:
- 15.3 MB
- SHA256:
- 929f9b0210a7a7bda5ed970c923ae3721cba6e8ae0a8548824392bea2bd4fe26
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