Instructions to use wu981526092/Sentence-Level-Stereotype-Detector-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wu981526092/Sentence-Level-Stereotype-Detector-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wu981526092/Sentence-Level-Stereotype-Detector-V2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wu981526092/Sentence-Level-Stereotype-Detector-V2") model = AutoModelForSequenceClassification.from_pretrained("wu981526092/Sentence-Level-Stereotype-Detector-V2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8d6fbff6a603e9133f79b6e1e730e20309bfee0b9287aed57cea90c61cb2d8e
- Size of remote file:
- 657 MB
- SHA256:
- 01269b7427a7c5c95e15d89121dbe2a41d23658cc4d2fae2ef29b4e6b4ddd4b8
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