Zero-Shot Object Detection
Transformers
PyTorch
TensorBoard
deformable_detr
object-detection
Generated from Trainer
zero-shot
Instructions to use mcity-data-engine/fisheye8k_facebook_deformable-detr-detic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcity-data-engine/fisheye8k_facebook_deformable-detr-detic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="mcity-data-engine/fisheye8k_facebook_deformable-detr-detic")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("mcity-data-engine/fisheye8k_facebook_deformable-detr-detic") model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_facebook_deformable-detr-detic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6501908405a2bcb9cb3c74208fe37e2d0649598f6f30791c21be592f27fde57
- Size of remote file:
- 165 MB
- SHA256:
- 3452e2264c4cc5c336a6e8716169060157c3c5ba17370e4d65c85e4713dfbac2
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