Instructions to use Woolv7007/land-type-classification-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Woolv7007/land-type-classification-pro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Woolv7007/land-type-classification-pro") 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("Woolv7007/land-type-classification-pro") model = AutoModelForImageClassification.from_pretrained("Woolv7007/land-type-classification-pro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c393aa5260c0cb725819e10376dd26df5ddbc07f42ea9b2ae361cedd9f16b407
- Size of remote file:
- 5.91 kB
- SHA256:
- b9e8c613e8c0bd8a5cd1bf10017876d675f912921f2491429ea0c59f3434fe9a
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