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:
- f56a621f03aed0eac43308946b52457cb09eb249d94b9e43ea2e584e24a6d54e
- Size of remote file:
- 123 MB
- SHA256:
- 2d7823cb4a25b0c7428f4732133dfcbf5a8170c176832ada27b2bdd39efc37b7
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