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")# pip install -U transformers accelerate # 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
Download optimizer.pt from wu981526092/Sentence-Level-Stereotype-Detector: direct link, hf CLI and curl.
- Browser
- Download file 536 MB
-
https://huggingface.co/wu981526092/Sentence-Level-Stereotype-Detector/resolve/refs%2Fpr%2F2/optimizer.pt
- Command line
-
hf download hf://wu981526092/Sentence-Level-Stereotype-Detector@refs/pr/2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/wu981526092/Sentence-Level-Stereotype-Detector/resolve/refs%2Fpr%2F2/optimizer.pt
536 MB
- Xet hash:
- 039d77d77c3f23ffe9974bb18f004b48c60a4a6a0165f67ca58886333c507c2a
- Size of remote file:
- 536 MB
- SHA256:
- 6fe6d44ed8eadd7b3fa298e0b516c01635f64e8d63cb962aecfd656af54bc9df
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