Text Classification
Transformers
PyTorch
German
distilbert
fearspeech
classification
social science
communication
hatespeech
text-embeddings-inference
Instructions to use PatrickSchwabl/distilbert_fearspeech_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PatrickSchwabl/distilbert_fearspeech_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PatrickSchwabl/distilbert_fearspeech_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PatrickSchwabl/distilbert_fearspeech_classifier") model = AutoModelForSequenceClassification.from_pretrained("PatrickSchwabl/distilbert_fearspeech_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa0ec02feb2fc6fdaa721879e7913061da3f32bb33d874bc3787bf014c29bbc3
- Size of remote file:
- 3.96 kB
- SHA256:
- 47f9583a5dd5af220c5120e195bcbf7c101f3acafb053ea3f3f1bc9d82593ca2
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