How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="deepset/bert-base-german-cased-hatespeech-GermEval18Coarse")
# pip install -U transformers accelerate
# 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", device_map="auto")
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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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