Instructions to use OmAlve/reading-steiner-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OmAlve/reading-steiner-2b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OmAlve/reading-steiner-2b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df73c782f79a1636dea342675df6f7d1360bc545e0cac73336578e2bf6253e3d
- Size of remote file:
- 5.37 kB
- SHA256:
- ca8e6960970191e864ebee42657f41b09f7c6d47a853ec5f98e3918834389ae5
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