Image Classification
Transformers
Safetensors
mobilevit
knowledge_distillation
vision
Generated from Trainer
Instructions to use c14kevincardenas/mobilevit-small_alpha0.7_temp5.0_t3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use c14kevincardenas/mobilevit-small_alpha0.7_temp5.0_t3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="c14kevincardenas/mobilevit-small_alpha0.7_temp5.0_t3") 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("c14kevincardenas/mobilevit-small_alpha0.7_temp5.0_t3") model = AutoModelForImageClassification.from_pretrained("c14kevincardenas/mobilevit-small_alpha0.7_temp5.0_t3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23530d05515a8a1130bfcc34209b68483ce4a6274e373ea278e90e45de0ed0ce
- Size of remote file:
- 5.18 kB
- SHA256:
- 066a6f9c01d2a613193e9e52858eadc9401e56d54d39eec7b658e84195f17a17
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