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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:041f795b19ce397b0526492832042d3dcb2188697cd18604c5896f896e15a7ff
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size 269614320
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