Instructions to use hf-internal-testing/tiny-random-DetrModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DetrModel 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-DetrModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-DetrModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-DetrModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 040fe74fef2a88511ebff92a51e7af888e5130bd7aa42f6b082d18decdbf4216
- Size of remote file:
- 103 MB
- SHA256:
- c68c4b1215e00d2cbb72b8eabf366e9e219554a1935985c32137ad3ff150c6c3
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