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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
24a8dbb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f6a2a2d81128a4b644396a439e662ebb232e3336baa7a6b67199b766f66e0971
size 3049037
|