Text Classification
Transformers
PyTorch
Safetensors
German
electra
hate-speech-detection
hate-speech
Instructions to use jagoldz/gahd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jagoldz/gahd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jagoldz/gahd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jagoldz/gahd") model = AutoModelForSequenceClassification.from_pretrained("jagoldz/gahd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (0144764869298e485a3defe0949a739675993ed0) Co-authored-by: Safetensors convertbot <[email protected]>90c6e4f
-
Update README.md
Verified signaturea6f0d10
-
Upload model files
Verified signatureedc3791 -
Update README.md
Verified signaturec7f964f -
initial commit
Verified signatureb7947ae