Instructions to use hf-internal-testing/tiny-random-GLPNModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GLPNModel 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-GLPNModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-GLPNModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-GLPNModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e16451084ffb849f2c818271947f5d4ce2ff00c4955e837c93132e8652460094
- Size of remote file:
- 3.01 MB
- SHA256:
- 93f56d10a6f60378963e54f1e88290b74e88e0b92f113db8c4d711f0997bf19e
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