Instructions to use hf-tiny-model-private/tiny-random-DetaForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-DetaForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-tiny-model-private/tiny-random-DetaForObjectDetection")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("hf-tiny-model-private/tiny-random-DetaForObjectDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94c3be7f30fcdbc2b6b5644e7ef1d59c25986fc2b8617dbab5b5e42faaf34c2e
- Size of remote file:
- 124 MB
- SHA256:
- 73cec1a535c9d41126c253f27d64851f94fce86ab848ecd2c30d8d42cadaff6a
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