Instructions to use textdetox/xlmr-large-toxicity-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textdetox/xlmr-large-toxicity-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textdetox/xlmr-large-toxicity-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textdetox/xlmr-large-toxicity-classifier") model = AutoModelForSequenceClassification.from_pretrained("textdetox/xlmr-large-toxicity-classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7e8eee0776eb451e59d3dcbf4bd27620f6c1d1e60630bd2f155207a1e7852a0
- Size of remote file:
- 4.66 kB
- SHA256:
- 5e5669b8832cbf5841d48301e9864d3640c85cceb7efe18e9227169755b90d11
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