Instructions to use wu981526092/Token-Level-Stereotype-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wu981526092/Token-Level-Stereotype-Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wu981526092/Token-Level-Stereotype-Detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wu981526092/Token-Level-Stereotype-Detector") model = AutoModelForTokenClassification.from_pretrained("wu981526092/Token-Level-Stereotype-Detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from wu981526092/Token-Level-Stereotype-Detector: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/wu981526092/Token-Level-Stereotype-Detector/resolve/main/tokenizer.json
- Command line
-
hf download hf://wu981526092/Token-Level-Stereotype-Detector/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/wu981526092/Token-Level-Stereotype-Detector/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.