Instructions to use hf-tiny-model-private/tiny-random-GLPNModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-GLPNModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-GLPNModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-GLPNModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-GLPNModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
d8347f5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:030d139eb52c02711c37312394b0f6648751e82a5bffe9580a055542f56f38ce
size 3049037
|