Instructions to use Cameron/BERT-jigsaw-severetoxic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cameron/BERT-jigsaw-severetoxic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cameron/BERT-jigsaw-severetoxic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cameron/BERT-jigsaw-severetoxic") model = AutoModelForSequenceClassification.from_pretrained("Cameron/BERT-jigsaw-severetoxic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d885a02e6aa25f71aa63fa62ef8586b5703e6a8b2f76b7109a17b9d0b80ac800
- Size of remote file:
- 433 MB
- SHA256:
- e7a1e398daa50820386cfb593012afc8f488b986d4a920111a82d37cdbc6e0d8
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