Image Feature Extraction
Transformers
Safetensors
dreamsim
feature-extraction
perceptual-similarity
custom_code
Instructions to use bigshanedogg/dreamsim-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/dreamsim-ensemble with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="bigshanedogg/dreamsim-ensemble", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/dreamsim-ensemble", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from bigshanedogg/dreamsim-ensemble: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
-
https://huggingface.co/bigshanedogg/dreamsim-ensemble/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://bigshanedogg/dreamsim-ensemble/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/bigshanedogg/dreamsim-ensemble/resolve/main/preprocessor_config.json
166 Bytes
| { | |
| "image_processor_type": "DreamSimImageProcessor", | |
| "auto_map": { | |
| "AutoImageProcessor": "processing_dreamsim.DreamSimImageProcessor" | |
| }, | |
| "img_size": 224 | |
| } | |