Instructions to use Dugerij/dummy_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dugerij/dummy_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dugerij/dummy_classification_model") 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("Dugerij/dummy_classification_model") model = AutoModelForImageClassification.from_pretrained("Dugerij/dummy_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a4dc0a9c744aaf5fd96b234c51abe5f63ff019f07d728134a75b62d7e8f5c6e
- Size of remote file:
- 5.3 kB
- SHA256:
- 7e92d38d77550c0f843edc24534fc6ec8f3fa52916684747297db11599f77ee6
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