Instructions to use hf-internal-testing/tiny-random-DeformableDetrModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DeformableDetrModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-DeformableDetrModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-DeformableDetrModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-DeformableDetrModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c53012c018074ea21b2c29b4fe71b026f85a1f27c1f079a876acde5e0237249d
- Size of remote file:
- 123 MB
- SHA256:
- 8e6460a0a695f2898e18b593fe2acd8225ca5e5a9afeedade5c279a2e277f7b5
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