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:
- fd7d53c615b34a6e15712297a6fb265fff9b85447bbd60c3216d9e4b04641242
- Size of remote file:
- 443 MB
- SHA256:
- 2408c25078f03691ad31064778cb702bf834eb06905cd413f6e056ea94ec396b
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