Instructions to use pt-sk/bert-toxic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pt-sk/bert-toxic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pt-sk/bert-toxic-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pt-sk/bert-toxic-classification") model = AutoModelForSequenceClassification.from_pretrained("pt-sk/bert-toxic-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7716d72bd9f7b662a09444f1ee6103a7a3bd34662405fc21ec400ff4456adaa
- Size of remote file:
- 438 MB
- SHA256:
- 924aff2eb02a6562097e6b09c543b010175abef67534e342baf501428977cc73
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