Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use andriadze/bert-chat-moderation-X-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andriadze/bert-chat-moderation-X-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andriadze/bert-chat-moderation-X-V2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andriadze/bert-chat-moderation-X-V2") model = AutoModelForSequenceClassification.from_pretrained("andriadze/bert-chat-moderation-X-V2") - Notebooks
- Google Colab
- Kaggle
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README.md
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- Loss: 0.1622
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- Accuracy: 0.9723
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Compared to the previous version, this model
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It also has improved blocking for underage content.
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## Model description
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- Loss: 0.1622
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- Accuracy: 0.9723
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Compared to the previous version, this model blocks "necrophilia". This category was missing in v1.
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It also has improved blocking for underage content.
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## Model description
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