Instructions to use Data-Lab/moderation_binary_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data-Lab/moderation_binary_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Data-Lab/moderation_binary_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/moderation_binary_classification") model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/moderation_binary_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b6ba5161eb5d6967b98a5bc059e28fac0793bc5fe9f5f7aedee9ebb9431e660
- Size of remote file:
- 17.1 MB
- SHA256:
- 89646f5f3e450d818fc4c0c008cf6a34e27b0c04eee20d75222aa6bfa1e8593f
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