Text Classification
Transformers
PyTorch
English
deberta-v2
hate
hate_speech
text-embeddings-inference
Instructions to use OrK7/parler_hate_speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OrK7/parler_hate_speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OrK7/parler_hate_speech")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OrK7/parler_hate_speech", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 326e2daceb86f5d9ad509a201de94946f7acda39355b64908548a178da0b1598
- Size of remote file:
- 1.74 GB
- SHA256:
- de348a374c5b14998be6323119f2434fd1fd3b993487b6e8fe7bff00d70e925b
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