Image Classification
Transformers
TensorBoard
Safetensors
mobilevit
Generated from Trainer
Eval Results (legacy)
Instructions to use kedimestan/mobilevit-x-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kedimestan/mobilevit-x-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kedimestan/mobilevit-x-small") 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("kedimestan/mobilevit-x-small") model = AutoModelForImageClassification.from_pretrained("kedimestan/mobilevit-x-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from kedimestan/mobilevit-x-small: direct link, hf CLI and curl.
- Browser
- Download file 7.81 MB
-
https://huggingface.co/kedimestan/mobilevit-x-small/resolve/main/model.safetensors
- Command line
-
hf download hf://kedimestan/mobilevit-x-small/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/kedimestan/mobilevit-x-small/resolve/main/model.safetensors
7.81 MB
- Xet hash:
- 6b63f679927fe69e40460d41fce2582fa7fe5be74c3369b5c22c7f16f7cf52f6
- Size of remote file:
- 7.81 MB
- SHA256:
- 31f343254fcab3e8ce4389801d85ed98235b3d10e916c8fe62693d9e6dc52207
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