Feature Extraction
Transformers
Safetensors
astroclip
astronomy
multimodal
vision
spectra
contrastive-learning
custom_code
Instructions to use giovannicozzolongo/astroclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giovannicozzolongo/astroclip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="giovannicozzolongo/astroclip", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("giovannicozzolongo/astroclip", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "processor_class": "AstroClipProcessor", | |
| "image_processor": { | |
| "crop_size": 144, | |
| "bands": [ | |
| "g", | |
| "r", | |
| "z" | |
| ], | |
| "band_indices": null, | |
| "m": 0.03, | |
| "q": 20.0 | |
| }, | |
| "spectrum_feature_extractor": { | |
| "section_length": 20, | |
| "overlap": 10, | |
| "min_std": 0.2 | |
| }, | |
| "auto_map": { | |
| "AutoProcessor": "processing_astroclip.AstroClipProcessor" | |
| } | |
| } | |