Instructions to use davanstrien/dfine-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/dfine-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="davanstrien/dfine-test")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("davanstrien/dfine-test") model = AutoModelForObjectDetection.from_pretrained("davanstrien/dfine-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4faec5fa9688debc7412682d1582e74668ccc3510e1c67ea49caba2a5285aa91
- Size of remote file:
- 5.78 kB
- SHA256:
- 8cc041291752fa480c8a110999d2d678654bcda10ee696f814fc36813cff17b1
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