Instructions to use OmAlve/reading-steiner-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OmAlve/reading-steiner-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OmAlve/reading-steiner-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 523e2b8c1f6ede0599cff463d51a977eb7364dd86c2778faa13562c74ff50816
- Size of remote file:
- 5.37 kB
- SHA256:
- fc94d0ac7bed9199aceb2bb252f64fd3a064c26e24d81271fcc84455ded351e3
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