Instructions to use shubhamWi91/train73 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubhamWi91/train73 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shubhamWi91/train73")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("shubhamWi91/train73") model = AutoModelForObjectDetection.from_pretrained("shubhamWi91/train73") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2452fd7d218d0fa06840bdcdae018e483d25f574c51593f76bbb4f7bbcbb991
- Size of remote file:
- 4.09 kB
- SHA256:
- e2bc2346001211af6ff87e09d8f3512dea2d2fd5217c9ef1b645f41cf77b619d
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