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
File size: 129 Bytes
2f06618 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b9e8c613e8c0bd8a5cd1bf10017876d675f912921f2491429ea0c59f3434fe9a
size 5905
|