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:
- f20b16ffc1d15cc5f83f90a590733444d45b36549965008b2f524681d5c94e43
- Size of remote file:
- 2.24 GB
- SHA256:
- a15dac1d5ef9cb8567b2533c687a217e48946c6e14de94725e7483c09cdd41b3
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