Instructions to use Matthijs/mobilevit-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/mobilevit-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Matthijs/mobilevit-small") 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("Matthijs/mobilevit-small") model = AutoModelForImageClassification.from_pretrained("Matthijs/mobilevit-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e726d44b3d4a973d7df715ecc8b7971db6b687b2cf67493f77dac832647c76d0
- Size of remote file:
- 22.5 MB
- SHA256:
- 68017a38cc32083328267c6eb560756920300e563ba35be7eea717efa02937c8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.