Instructions to use dhruvindankhara/DETR_FineTuning_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhruvindankhara/DETR_FineTuning_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="dhruvindankhara/DETR_FineTuning_2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("dhruvindankhara/DETR_FineTuning_2") model = AutoModelForObjectDetection.from_pretrained("dhruvindankhara/DETR_FineTuning_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94bb6b07c47fafef9b5451b486bd738289450bebb9bc7739c6df75fa567e1381
- Size of remote file:
- 167 MB
- SHA256:
- d4a173207216c44b1fb821f923334453e2742be2b9ad610a41cc9b90bd3074a1
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