Instructions to use junkmind/my_minist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junkmind/my_minist with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="junkmind/my_minist") 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("junkmind/my_minist") model = AutoModelForImageClassification.from_pretrained("junkmind/my_minist") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f26f1eeec842f6d612d6f1141e3244e927d0bd0eb854e44b8ebab4b0877b92a4
- Size of remote file:
- 3.9 kB
- SHA256:
- 3548eed686ea7188cc7afa3bbae91f88f305a89aef3c007091186a11d7b18188
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