Instructions to use akar49/only-crack-I with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akar49/only-crack-I with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="akar49/only-crack-I")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("akar49/only-crack-I") model = AutoModelForObjectDetection.from_pretrained("akar49/only-crack-I") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 986f162512e40af191779d33f2d8c3baec13d3eebd0abc303d5ec10eeaae0c61
- Size of remote file:
- 174 MB
- SHA256:
- 4fbbcc70cb441b80dce6b3c5ed6b32bf7b24629daba249ae5de6c16327d6e9ce
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