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
Download training_args.bin from jagoldz/gahd: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/jagoldz/gahd/resolve/main/training_args.bin
- Command line
-
hf download hf://jagoldz/gahd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jagoldz/gahd/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 28842238ea2912b99c46ba329866567a59954ea18e5ad1313ca159ef266d5363
- Size of remote file:
- 4.03 kB
- SHA256:
- d8837d57b537787bd5a353447f8234e4d6725e03f559cf5139cb6033716f8e5a
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