Instructions to use Qifa/lada50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qifa/lada50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Qifa/lada50")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Qifa/lada50") model = AutoModelForObjectDetection.from_pretrained("Qifa/lada50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from Qifa/lada50: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
-
https://huggingface.co/Qifa/lada50/resolve/main/README.md
- Command line
-
hf download hf://Qifa/lada50/README.md
-
curl -L -o README.md https://huggingface.co/Qifa/lada50/resolve/main/README.md
24 Bytes
metadata
license: mit