Image Feature Extraction
Transformers
SMARTIES-v1-ViT-B
earth-observation
remote-sensing
foundation-model
multi-sensor
custom_code
Instructions to use gsumbul/SMARTIES-v1-ViT-L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsumbul/SMARTIES-v1-ViT-L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="gsumbul/SMARTIES-v1-ViT-L", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gsumbul/SMARTIES-v1-ViT-L", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add library name tag
#1
by nielsr HF Staff - opened
This PR makes sure that the library used (Transformers) is specified, such that the UI displays the appropriate "how to use" snippet at the top right.
gsumbul changed pull request status to merged