Instructions to use TCleo/banana-maturity-mobile-vit-xx-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TCleo/banana-maturity-mobile-vit-xx-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TCleo/banana-maturity-mobile-vit-xx-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("TCleo/banana-maturity-mobile-vit-xx-small") model = AutoModelForImageClassification.from_pretrained("TCleo/banana-maturity-mobile-vit-xx-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9427381afd7fd4da15e24a52d8482a80af11bf24fe1360ef1f6d928bf1879128
- Size of remote file:
- 3.95 MB
- SHA256:
- ba54c28a7d04cc8c5420da94747135170cbb18ed1d4497fd051a97a4c5933141
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