Instructions to use tempmag/example-015 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tempmag/example-015 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="tempmag/example-015") 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("tempmag/example-015") model = AutoModelForImageClassification.from_pretrained("tempmag/example-015") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("tempmag/example-015")
model = AutoModelForImageClassification.from_pretrained("tempmag/example-015")Quick Links
example-015
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
- Downloads last month
- 3
Evaluation results
- Accuracyself-reported0.941
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="tempmag/example-015") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")