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:
- 7375071f878e6cf13bed150267b62c39d949e6b48b64711abbdec3770780726e
- Size of remote file:
- 1.06 kB
- SHA256:
- 9a5c54ee7c011c670893da853212409c5954873d7cf764d04d3afb04600039f7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.