Instructions to use Lazaro97/detr-resnet-50-dc5-fashionpedia-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lazaro97/detr-resnet-50-dc5-fashionpedia-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Lazaro97/detr-resnet-50-dc5-fashionpedia-finetuned")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Lazaro97/detr-resnet-50-dc5-fashionpedia-finetuned") model = AutoModelForObjectDetection.from_pretrained("Lazaro97/detr-resnet-50-dc5-fashionpedia-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 215bb15fe20a7dd56dda6dde256fbb0211eb32678918e3ce1f792dc9de1ec8c0
- Size of remote file:
- 166 MB
- SHA256:
- a6cd755f82284b7d0a4a7a5eb8b6013def0c41d5d088aab57bb5506895f0c90d
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