Instructions to use jaxnwagner/detr-resnet-50-dc5-fashionpedia-finetuned-jw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaxnwagner/detr-resnet-50-dc5-fashionpedia-finetuned-jw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jaxnwagner/detr-resnet-50-dc5-fashionpedia-finetuned-jw")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jaxnwagner/detr-resnet-50-dc5-fashionpedia-finetuned-jw") model = AutoModelForObjectDetection.from_pretrained("jaxnwagner/detr-resnet-50-dc5-fashionpedia-finetuned-jw") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f03ac4f5644bbc9bfcc38b17330a56fdc458ecb105f30400da6ae285f5692507
- Size of remote file:
- 167 MB
- SHA256:
- 1842784456a1676e14178e85199216838055c6eaed26dc2182bfae79d8345f81
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