Instructions to use Intel/tiny-random-vit_ipex_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/tiny-random-vit_ipex_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Intel/tiny-random-vit_ipex_model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Intel/tiny-random-vit_ipex_model") model = AutoModelForImageClassification.from_pretrained("Intel/tiny-random-vit_ipex_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1457a8aacafedbc685eebcd39e4589698d85df82630ee1e83bc2b452991cd6e
- Size of remote file:
- 178 kB
- SHA256:
- c4d7a4773b19d72f806c2172927a9ce1c0d2c9d0d768975e2dfcc0ac9ad7cef6
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