Instructions to use Qifa/lada100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qifa/lada100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Qifa/lada100")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Qifa/lada100") model = AutoModelForObjectDetection.from_pretrained("Qifa/lada100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload preprocessor_config.json
Verified signaturead24570 -
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (9e06e02f27e6fc42aed42740b2df905c43fcdde7)cdc36e4 -
Upload YolosForObjectDetection
Verified signature5fe25d7 -
initial commit
Verified signature4e18eac