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/CLOSP-RN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarthReca/CLOSP-RN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DarthReca/CLOSP-RN", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DarthReca/CLOSP-RN", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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Use the code below to get started with the model.
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## Citation
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Use the code below to get started with the model.
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```python
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model = AutoModel.from_pretrained("DarthReca/CLOSP-RN", trust_remote_code=True)
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```
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## Citation
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