Instructions to use cortex359/germeval2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cortex359/germeval2025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cortex359/germeval2025")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cortex359/germeval2025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ec3184c81885a84368d760c640698bf3511e4e768d95316c0eb97dfb25559bb
- Size of remote file:
- 2.24 GB
- SHA256:
- 67a39ad4955bb1738a3de058f88aafd650c6006293be4e482dc90887f9b57b86
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