Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use lunesco/bert-german-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lunesco/bert-german-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lunesco/bert-german-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lunesco/bert-german-ner") model = AutoModelForTokenClassification.from_pretrained("lunesco/bert-german-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4197f149518de3e983296a1c76e7ef04958c712b3f01efb152c9661cfdad7830
- Size of remote file:
- 438 MB
- SHA256:
- cedcfe952ec40ef2f986d6a85754c86c5733243a7ec569ae25b0a9e301c3d3f9
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