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
- Xet hash:
- 06516a90c52c1ca9096b6b842588ac05e1c5db11f92f82ca25c296ebe7a14e58
- Size of remote file:
- 3.96 kB
- SHA256:
- 0ca839a775bd188814fd1d454dfd76732fcd7c1f4521dc5b5f57416f583db5f0
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