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:
- 233ced7b9ffeab9d8f4c114289a9b28835b9ec7c78e27d7a1ad670e41f8bc33f
- Size of remote file:
- 144 Bytes
- SHA256:
- edf57b3e7cc4d837db7a3b400e84ffa2cc07b6adc347edef9feabbc11c5183cb
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