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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dadd8a88fa1fd353826b33b0bb63a1011fa3423e1aaec211a137f3733a64e86
- Size of remote file:
- 323 kB
- SHA256:
- a8c4c5ded52a7992627e980234d76cd7a209a2d4b76d60b616872b1eb4fd50dd
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