Text Classification
Transformers
Safetensors
English
distilbert
content-moderation
comment-moderation
text-moderation
text-embeddings-inference
Instructions to use Vrandan/Comment-Moderation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vrandan/Comment-Moderation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vrandan/Comment-Moderation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Vrandan/Comment-Moderation") model = AutoModelForSequenceClassification.from_pretrained("Vrandan/Comment-Moderation") - Notebooks
- Google Colab
- Kaggle
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# 🛡️ Comment Moderation Model
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[](https://huggingface.co/Vrandan/Comment-Moderation)
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[](https://www.python.org/downloads/release/python-
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[](https://huggingface.co/Vrandan/Comment-Moderation/blob/main/Comment%20Moderation-OpenRAIL.md)
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# 🛡️ Comment Moderation Model
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[](https://huggingface.co/Vrandan/Comment-Moderation)
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[](https://www.python.org/downloads/release/python-312/)
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[](https://huggingface.co/Vrandan/Comment-Moderation/blob/main/Comment%20Moderation-OpenRAIL.md)
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