Instructions to use ishaansharma/hate-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishaansharma/hate-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ishaansharma/hate-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ishaansharma/hate-detector") model = AutoModelForSequenceClassification.from_pretrained("ishaansharma/hate-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9e7150385128db789fefbc8d2328c6c2d43a1ee4f641f48057f5c42f6551b3d
- Size of remote file:
- 499 MB
- SHA256:
- c56a8879e80598f4b7605b1f5b63012b9f624055fc13a14de4ae33a390c866bb
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