Instructions to use Neto71/sea_mammals with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neto71/sea_mammals with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Neto71/sea_mammals") 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("Neto71/sea_mammals") model = AutoModelForImageClassification.from_pretrained("Neto71/sea_mammals") - Notebooks
- Google Colab
- Kaggle
sea_mammals
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
blue whale
dolphin
orca whale
- Downloads last month
- 18
Evaluation results
- Accuracyself-reported0.847


