Instructions to use whyoke/object_detection_test_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whyoke/object_detection_test_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="whyoke/object_detection_test_1")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("whyoke/object_detection_test_1") model = AutoModelForObjectDetection.from_pretrained("whyoke/object_detection_test_1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:43d0c7cadcf8af783c3824d0bed745b60b9143c40ffa3c298ecc23e65bf0fe8b
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size 166499480
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