Instructions to use paolinox/mobilevit-trained-task3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paolinox/mobilevit-trained-task3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="paolinox/mobilevit-trained-task3") 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("paolinox/mobilevit-trained-task3") model = AutoModelForImageClassification.from_pretrained("paolinox/mobilevit-trained-task3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25ecbc38bdbfe0056fe6651542815d9b05f8cecc7b06fed830e62d7a7d032bca
- Size of remote file:
- 4.73 kB
- SHA256:
- 12f125f4a7fd1fe2844dfbbe4db9a44a0fa0e4e9237f06223932bb4ce3fb903e
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