Instructions to use professorsab/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use professorsab/results with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("professorsab/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28e2a7a7754a2f47c7cc6260079cc4503a1d8f62c3c66de72c5dbe9adeac66ca
- Size of remote file:
- 5.56 kB
- SHA256:
- a7162eff12e17c82916db574367e2b37c4f089a9649bc1f86e93cd7682361e76
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