Instructions to use Am22000/classifier_image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Am22000/classifier_image with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Am22000/classifier_image") 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("Am22000/classifier_image") model = AutoModelForImageClassification.from_pretrained("Am22000/classifier_image") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("Am22000/classifier_image")
model = AutoModelForImageClassification.from_pretrained("Am22000/classifier_image")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Am22000/classifier_image") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")