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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PatrickSchwabl/distilbert_fearspeech_classifier") model = AutoModelForSequenceClassification.from_pretrained("PatrickSchwabl/distilbert_fearspeech_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from PatrickSchwabl/distilbert_fearspeech_classifier: direct link, hf CLI and curl.
- Browser
- Download file 729 kB
-
https://huggingface.co/PatrickSchwabl/distilbert_fearspeech_classifier/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://PatrickSchwabl/distilbert_fearspeech_classifier@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/PatrickSchwabl/distilbert_fearspeech_classifier/resolve/refs%2Fpr%2F1/tokenizer.json
729 kB
File too large to display, you can check the raw version instead.