Text Classification
Transformers
Safetensors
modernbert
moderation
toxicity
jailbreak-detection
multi-label
text-embeddings-inference
Instructions to use opus-research/opus-moderation-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use opus-research/opus-moderation-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="opus-research/opus-moderation-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("opus-research/opus-moderation-2") model = AutoModelForSequenceClassification.from_pretrained("opus-research/opus-moderation-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 2e057355f32584d3b41193ea6abed23776e1fd6a91a07828df158817f3a6be01
- Size of remote file:
- 138 kB
- SHA256:
- b3b84e30b7575e633461c82a7f3836999b8e28fd13b0190a81d97ee919a40e2d
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