Instructions to use EverJun2/MLweek7_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EverJun2/MLweek7_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="EverJun2/MLweek7_1")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("EverJun2/MLweek7_1") model = AutoModelForObjectDetection.from_pretrained("EverJun2/MLweek7_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcd4425cbde6fb41f13871727ba41e83c03e59962822b88f77a159c7197ba0f3
- Size of remote file:
- 5.84 kB
- SHA256:
- 6769507c45ae35a8091d3ba382d5430ed881eaee0e37088fa052d1f5ed5747fd
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