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")# 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
- Xet hash:
- 2c261487ed982c101d000c7d9a866791b4e80b0f2d1fff47212e864e5a93a952
- Size of remote file:
- 1.34 GB
- SHA256:
- 7b44e96a636082a086fb2929ef6c872199c14ece574bbbbc968dda4d81cc4840
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