Instructions to use frank4133/CVPDL_HW1-detrobjectdetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frank4133/CVPDL_HW1-detrobjectdetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="frank4133/CVPDL_HW1-detrobjectdetection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("frank4133/CVPDL_HW1-detrobjectdetection") model = AutoModelForObjectDetection.from_pretrained("frank4133/CVPDL_HW1-detrobjectdetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:957be3167b40eaf4262520099d1772778d1a0034a8fbe55ea1a2c07d81d47ee3
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size 166510924
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