Instructions to use IMSyPP/hate_speech_slo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMSyPP/hate_speech_slo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IMSyPP/hate_speech_slo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IMSyPP/hate_speech_slo") model = AutoModelForSequenceClassification.from_pretrained("IMSyPP/hate_speech_slo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e224df4183131c310f62136a33efc533e23dd220e6670b2e1e01bf11b3603f8
- Size of remote file:
- 497 MB
- SHA256:
- 38b4145747dcc46d1dc62cc2be0a861100c6f787e1c036213adc5ae49fd1b4a4
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