Text Classification
Transformers
Safetensors
PyTorch
English
bert
multi-label-classification
toxicity-detection
Eval Results (legacy)
text-embeddings-inference
Instructions to use Koushim/bert-multilabel-jigsaw-toxic-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Koushim/bert-multilabel-jigsaw-toxic-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Koushim/bert-multilabel-jigsaw-toxic-classifier")# Load model directly from transformers import AutoTokenizer, CustomBertForMultiLabel tokenizer = AutoTokenizer.from_pretrained("Koushim/bert-multilabel-jigsaw-toxic-classifier") model = CustomBertForMultiLabel.from_pretrained("Koushim/bert-multilabel-jigsaw-toxic-classifier") - Notebooks
- Google Colab
- Kaggle
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