Text Classification
Transformers
PyTorch
Safetensors
English
deberta
Trained with AutoTrain
social
offensive speech detection
moderation
Instructions to use KoalaAI/OffensiveSpeechDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoalaAI/OffensiveSpeechDetector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KoalaAI/OffensiveSpeechDetector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KoalaAI/OffensiveSpeechDetector") model = AutoModelForSequenceClassification.from_pretrained("KoalaAI/OffensiveSpeechDetector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KoalaAI/OffensiveSpeechDetector: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/KoalaAI/OffensiveSpeechDetector/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KoalaAI/OffensiveSpeechDetector/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KoalaAI/OffensiveSpeechDetector/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- acdce7fe9725b11812468a6acb2584949e1174f49b9edec4b49ffd9b5bbb66d6
- Size of remote file:
- 557 MB
- SHA256:
- 3d73ab6b7d0c40e6f7c61e34b479bf931ccd7f21a221d43a5755d58b614aa32d
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