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
File size: 166 Bytes
f918a65 | 1 2 3 4 5 6 7 8 | {
"image_processor_type": "DreamSimImageProcessor",
"auto_map": {
"AutoImageProcessor": "processing_dreamsim.DreamSimImageProcessor"
},
"img_size": 224
}
|