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 pytorch_model.bin from wu981526092/Sentence-Level-Stereotype-Detector: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/wu981526092/Sentence-Level-Stereotype-Detector/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://wu981526092/Sentence-Level-Stereotype-Detector/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/wu981526092/Sentence-Level-Stereotype-Detector/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 3ad58567347b07b0931d0908820c1d39856cb2703d07a13e95337101f20e7791
- Size of remote file:
- 268 MB
- SHA256:
- 2bea91ab55815e992847f99e4cfa09b525f0ae38062ae428c373962f2f6ff77c
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