Instructions to use CherryPick-group/sigLip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CherryPick-group/sigLip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CherryPick-group/sigLip", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CherryPick-group/sigLip", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "MarqoFashionSigLIP" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "Marqo/marqo-fashionSigLIP--marqo_fashionSigLIP.MarqoFashionSigLIPConfig", | |
| "AutoModel": "Marqo/marqo-fashionSigLIP--marqo_fashionSigLIP.MarqoFashionSigLIP", | |
| "AutoProcessor": "Marqo/marqo-fashionSigLIP--marqo_fashionSigLIP.MarqoFashionSigLIPProcessor" | |
| }, | |
| "open_clip_model_name": "hf-hub:Marqo/marqo-fashionSigLIP", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.51.3" | |
| } | |