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:
- bb3655147cda79bfe07a18731a88c8f4acc722a5597fa22f2381993a12e19ec8
- Size of remote file:
- 3.58 kB
- SHA256:
- ed900f9e42f16ab97251122f217e43100a906905618738457b26fe6c05a1e777
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