Instructions to use BeckerAnas/fancy-plant-219 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BeckerAnas/fancy-plant-219 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BeckerAnas/fancy-plant-219") 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("BeckerAnas/fancy-plant-219") model = AutoModelForImageClassification.from_pretrained("BeckerAnas/fancy-plant-219", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccee5cdab5954f76b8d077cee37a5dc2f97d26bb24550f070f52715e9ce8585a
- Size of remote file:
- 5.71 kB
- SHA256:
- de4f065476f5cbec383d81254c08faf019e7f273372f26431820aa2662407ce2
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