Instructions to use hf-internal-testing/tiny-random-YolosModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-YolosModel 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-YolosModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-YolosModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-YolosModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dce8a588924e4d8f4da3530985f110bcbfc4eb8bd8ef7ebed0c440333ffc12d9
- Size of remote file:
- 304 kB
- SHA256:
- a4b587c80bb381c2a1ebd419683c6c6a6b10fee8f80f35aa778c14132739d3e1
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