Feature Extraction
Transformers
Safetensors
English
closp
remote-sensing
text-to-image-retrieval
multimodal
geospatial
SAR
multispectral
crisis-management
earth-observation
contrastive-learning
custom_code
Instructions to use DarthReca/GeoCLOSP-RN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarthReca/GeoCLOSP-RN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DarthReca/GeoCLOSP-RN", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DarthReca/GeoCLOSP-RN", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -57,4 +57,7 @@ model = AutoModel.from_pretrained("DarthReca/GeoCLOSP-RN", trust_remote_code=Tru
|
|
| 57 |
primaryClass={cs.CV},
|
| 58 |
url={https://arxiv.org/abs/2507.10403},
|
| 59 |
}
|
| 60 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
| 57 |
primaryClass={cs.CV},
|
| 58 |
url={https://arxiv.org/abs/2507.10403},
|
| 59 |
}
|
| 60 |
+
```
|
| 61 |
+
|
| 62 |
+
## Licensing
|
| 63 |
+
The data in this dataset is a compilation of multiple sources, each with its own license. For detailed information on the licensing of each component, please see the [**NOTICE.md**](NOTICE.md) file.
|