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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from Intel/tiny-random-vit_ipex_model: direct link, hf CLI and curl.
- Browser
- Download file 197 kB
-
https://huggingface.co/Intel/tiny-random-vit_ipex_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Intel/tiny-random-vit_ipex_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Intel/tiny-random-vit_ipex_model/resolve/main/pytorch_model.bin
197 kB
- Xet hash:
- 2337505e9c43214311a7785cc160b395fbe69912e7407bc17346ee40fdb002a5
- Size of remote file:
- 197 kB
- SHA256:
- e11ce11a93299ffdcd09106d7a11aefd7756c834f37337c1f2a6952be7e1ec53
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