Feature Extraction
Transformers
PyTorch
Safetensors
s2l8hModel
agriculture
remote sensing
earth observation
landsat
sentinel-2
custom_code
Instructions to use venkatesh-thiru/s2l8h-UNet-6depth-upsample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use venkatesh-thiru/s2l8h-UNet-6depth-upsample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="venkatesh-thiru/s2l8h-UNet-6depth-upsample", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("venkatesh-thiru/s2l8h-UNet-6depth-upsample", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!