Text Classification
Transformers
Safetensors
modernbert
moderation
toxicity
jailbreak-detection
multi-label
text-embeddings-inference
Instructions to use opus-research/opus-moderation-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use opus-research/opus-moderation-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="opus-research/opus-moderation-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("opus-research/opus-moderation-1") model = AutoModelForSequenceClassification.from_pretrained("opus-research/opus-moderation-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 504f97494047e0e43bad5597409160627722667bdb1192c86273d379b368e2f3
- Size of remote file:
- 165 kB
- SHA256:
- c72166de07214ee08e0b30347b250132c5581f79b807787731413ce322355417
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