Instructions to use api19750904/cupra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use api19750904/cupra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="api19750904/cupra")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("api19750904/cupra") model = AutoModelForObjectDetection.from_pretrained("api19750904/cupra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from api19750904/cupra: direct link, hf CLI and curl.
- Browser
- Download file 1 Bytes
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https://huggingface.co/api19750904/cupra/resolve/refs%2Fpr%2F2/preprocessor_config.json
- Command line
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hf download hf://api19750904/cupra@refs/pr/2/preprocessor_config.json
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curl -L -o preprocessor_config.json https://huggingface.co/api19750904/cupra/resolve/refs%2Fpr%2F2/preprocessor_config.json
1 Bytes
Invalid JSON:Unexpected end of JSON input