Instructions to use IMSyPP/hate_speech_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMSyPP/hate_speech_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IMSyPP/hate_speech_en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IMSyPP/hate_speech_en") model = AutoModelForSequenceClassification.from_pretrained("IMSyPP/hate_speech_en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01e420d40a21a5ebad0f617732d5cdf115ad3c0c2951184bbf502a0da310f624
- Size of remote file:
- 433 MB
- SHA256:
- 1eae72c03d717ab5ca620f49d610a79b7bcb7bf2e5b38df15b93a8dbec88801b
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