Instructions to use optimum-intel-internal-testing/tiny-random-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum-intel-internal-testing/tiny-random-vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="optimum-intel-internal-testing/tiny-random-vit") 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("optimum-intel-internal-testing/tiny-random-vit") model = AutoModelForImageClassification.from_pretrained("optimum-intel-internal-testing/tiny-random-vit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from optimum-intel-internal-testing/tiny-random-vit: direct link, hf CLI and curl.
- Browser
- Download file 292 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-vit/resolve/main/tf_model.h5
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-vit/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/optimum-intel-internal-testing/tiny-random-vit/resolve/main/tf_model.h5
292 kB
- Xet hash:
- 88f3a0c7781dbef99e65d6839090f92cfd90ab0e3f27f9147fda6809b3cbd7d0
- Size of remote file:
- 292 kB
- SHA256:
- f335ce3ad15e6d1aa6cae1f86d2ec579373286b1e4a40b92c51751355b6d6d95
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