Instructions to use hf-internal-testing/tiny-random-mobilevit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-mobilevit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hf-internal-testing/tiny-random-mobilevit") 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("hf-internal-testing/tiny-random-mobilevit") model = AutoModelForImageClassification.from_pretrained("hf-internal-testing/tiny-random-mobilevit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0908683411d83808ea52c986707bf01f540df6a1a40f0a1c1ab1ff7e701eff3
- Size of remote file:
- 1.29 MB
- SHA256:
- 8d927d7dfbfa29ab233d6887469255358b564b6382426c2c47073411d07787b0
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