Instructions to use 0llheaven/Conditional-detr-finetuned-tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0llheaven/Conditional-detr-finetuned-tf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="0llheaven/Conditional-detr-finetuned-tf")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("0llheaven/Conditional-detr-finetuned-tf") model = AutoModelForObjectDetection.from_pretrained("0llheaven/Conditional-detr-finetuned-tf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
692d381 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d5e87ca66c4b7caf9d392d7f84ab0b6507eafa23a8aa4bef0273c4f8e497dbe0
size 174234938
|