Instructions to use EverJun2/mlWeek7_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EverJun2/mlWeek7_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="EverJun2/mlWeek7_2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("EverJun2/mlWeek7_2") model = AutoModelForObjectDetection.from_pretrained("EverJun2/mlWeek7_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4463ba8a4467706b8dfc4c027a9aef56c1aab1474c63cdda31e235741a8282ed
- Size of remote file:
- 5.84 kB
- SHA256:
- c3942e99fc4c2db8a803425f37bbc1782007229ce0cf2132e80738a310d059ed
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