Instructions to use dhtocks/tunib-electra-stereotype-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhtocks/tunib-electra-stereotype-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhtocks/tunib-electra-stereotype-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhtocks/tunib-electra-stereotype-classifier") model = AutoModelForSequenceClassification.from_pretrained("dhtocks/tunib-electra-stereotype-classifier") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
TUNiB-Electra Stereotype Detector
Finetuned TUNiB-Electra base with K-StereoSet.
Original Code: https://github.com/newfull5/Stereotype-Detector
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