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
File size: 178 Bytes
43ae666 | 1 2 3 4 5 6 7 8 9 10 | {
"toxicity": 0.4,
"severe_toxicity": 0.05,
"obscene": 0.45,
"threat": 0.4,
"insult": 0.4,
"identity_attack": 0.45,
"sexual_explicit": 0.45,
"jailbreaking": 0.5
} |