Instructions to use ustc-community/dfine-small-obj365 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ustc-community/dfine-small-obj365 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ustc-community/dfine-small-obj365")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("ustc-community/dfine-small-obj365") model = AutoModelForObjectDetection.from_pretrained("ustc-community/dfine-small-obj365", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22efc2470afa010c74b3875769816da01acd70907eba3d6fafaad4b35de4d535
- Size of remote file:
- 43 MB
- SHA256:
- 71317b2f75c9475ea655f14bb6bcd4cb8d49d3cd72cb06d5b632d146de79e1d9
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