Instructions to use severinsimmler/german-press-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use severinsimmler/german-press-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="severinsimmler/german-press-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("severinsimmler/german-press-bert") model = AutoModelForTokenClassification.from_pretrained("severinsimmler/german-press-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4698dc03d1ccd38008b4779db57d343a1d81e1f0f3a78a1e380bd62dfd9e9d5
- Size of remote file:
- 437 MB
- SHA256:
- 31f98d1863f548eb1b9959f4622b537aa1736439933b5438d2a644e01deebcd7
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