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