Instructions to use adit94/dit_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adit94/dit_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="adit94/dit_test")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("adit94/dit_test") model = AutoModelForObjectDetection.from_pretrained("adit94/dit_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5467a02a06784d9fbce13b0e74a5fb3cc7ea6dba41e3887a9af7c3f8fb6b5a1f
- Size of remote file:
- 167 MB
- SHA256:
- 541acd0c026d216d7c07d74f9efa121b5824b6f13ff04d7663dfcc42275167d1
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