Instructions to use ctoraman/hate-speech-berturk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctoraman/hate-speech-berturk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ctoraman/hate-speech-berturk")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ctoraman/hate-speech-berturk") model = AutoModelForSequenceClassification.from_pretrained("ctoraman/hate-speech-berturk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 441b6809bd919852595694aa0368d2618cc9222862e85341f1c3995151404fa3
- Size of remote file:
- 2.99 kB
- SHA256:
- 2e96814e05dd75a03891a8b9f74aa0ba01ee2183132c5225134be28ebda27222
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