Instructions to use deepset/bert-base-german-cased-hatespeech-GermEval18Coarse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/bert-base-german-cased-hatespeech-GermEval18Coarse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deepset/bert-base-german-cased-hatespeech-GermEval18Coarse")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deepset/bert-base-german-cased-hatespeech-GermEval18Coarse") model = AutoModelForSequenceClassification.from_pretrained("deepset/bert-base-german-cased-hatespeech-GermEval18Coarse") - Notebooks
- Google Colab
- Kaggle
This is a German BERT v1 (https://deepset.ai/german-bert) trained to do hate speech detection on the GermEval18Coarse dataset
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