Text Classification
Transformers
ONNX
Safetensors
English
deberta-v2
content-moderation
knowledge-distillation
synthetic-data
minecraft
deberta-v3
Instructions to use utfunderscore/themis-moderation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utfunderscore/themis-moderation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="utfunderscore/themis-moderation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("utfunderscore/themis-moderation") model = AutoModelForSequenceClassification.from_pretrained("utfunderscore/themis-moderation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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