Instructions to use Ngit/detoxify-multi-miniLM-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ngit/detoxify-multi-miniLM-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ngit/detoxify-multi-miniLM-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ngit/detoxify-multi-miniLM-onnx") model = AutoModelForSequenceClassification.from_pretrained("Ngit/detoxify-multi-miniLM-onnx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24aafbccfe09520e7d9dc75479c7493dfbafae9d21d2a199041a563596a4c247
- Size of remote file:
- 428 MB
- SHA256:
- c719c36c2034885ebad89686ae13c1a583c9943e9d0bc79f665259a6be8a5aa1
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