Instructions to use KISTI-AI/Scideberta-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KISTI-AI/Scideberta-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KISTI-AI/Scideberta-full")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KISTI-AI/Scideberta-full", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9f5ae22e5afdeada5c1847c858cc2763bc33b4005145c26087f9b37ba3533a6
- Size of remote file:
- 370 MB
- SHA256:
- 614b652d8e1518ca71f2b5792b169357f231e0b6818e756542a4b9634ebd7295
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