Instructions to use protectai/distilroberta-bias-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use protectai/distilroberta-bias-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="protectai/distilroberta-bias-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("protectai/distilroberta-bias-onnx") model = AutoModelForSequenceClassification.from_pretrained("protectai/distilroberta-bias-onnx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4a20c705796120da19d1e549f8d00551794641916582c424e76a33594438214
- Size of remote file:
- 329 MB
- SHA256:
- 5767205ce0597cfb3fd8861cd9b998509d550a1c009beb9867870823e2bd239e
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