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:
- 8b48f99ad000a7c157f24d607293fb323dcc20818c0d244aec84d22653b04efa
- Size of remote file:
- 2.24 GB
- SHA256:
- a189516d370f252399bd5fe16a47ccba4984d2a33c2c3993011dfad07baa51ab
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