Text Classification
Transformers
PyTorch
Safetensors
German
bert
german-news-classification
text-embeddings-inference
Instructions to use laiking/bert-base-german-cased-gnad10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laiking/bert-base-german-cased-gnad10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="laiking/bert-base-german-cased-gnad10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("laiking/bert-base-german-cased-gnad10") model = AutoModelForSequenceClassification.from_pretrained("laiking/bert-base-german-cased-gnad10") - Notebooks
- Google Colab
- Kaggle
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