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:
- 7fd60f4eb8cdf1a6d55820179225ad21c3077925e037007b877c51c98a9545bd
- Size of remote file:
- 4.73 kB
- SHA256:
- 5f79d57d982a8eccf138f8acdd33277df7da6e56cc1687a82affa24ec91155ac
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