Instructions to use samipfjo/deer-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samipfjo/deer-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="samipfjo/deer-detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("samipfjo/deer-detection") model = AutoModelForImageClassification.from_pretrained("samipfjo/deer-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("samipfjo/deer-detection")
model = AutoModelForImageClassification.from_pretrained("samipfjo/deer-detection", device_map="auto")Quick Links
deer-detection
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
cat
deer
dog in backyard
person
person gardening in yard
- Downloads last month
- 6
Evaluation results
- Accuracyself-reported0.920





# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="samipfjo/deer-detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")