Instructions to use wu981526092/Sentence-Level-Stereotype-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wu981526092/Sentence-Level-Stereotype-Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wu981526092/Sentence-Level-Stereotype-Detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wu981526092/Sentence-Level-Stereotype-Detector") model = AutoModelForSequenceClassification.from_pretrained("wu981526092/Sentence-Level-Stereotype-Detector", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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## Model Architecture
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The model is built using the
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## Model Performance
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## Model Architecture
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The model is built using the pretrained model. It is fine-tuned on a custom dataset for the task of sentence-level bias classification. The model uses a Sentence Classification architecture, typically used for Text Classification tasks.
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## Model Performance
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