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
- Xet hash:
- e380e2d72cea6dc5a32edec90054d0e6bdc318278f078080f06ec21ec71451fc
- Size of remote file:
- 343 MB
- SHA256:
- 6cf5a84757ba7531bbf834ea73912884611815e375b5810a847d1dbdfecc47d4
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