Instructions to use Data-Lab/moderation_layer_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data-Lab/moderation_layer_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Data-Lab/moderation_layer_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/moderation_layer_v2") model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/moderation_layer_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96765c5eacc4393ddbe86986900509a64b5d2dd4de444345e7b32d1ce026c67f
- Size of remote file:
- 117 MB
- SHA256:
- adb51f5c6f8dd69c2d90358f90a0e9a190bc4df3630aeef8087b4af8ce7d56f8
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