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
| { | |
| "architectures": [ | |
| "DreamSimModel" | |
| ], | |
| "model_type": "dreamsim", | |
| "auto_map": { | |
| "AutoConfig": "configuration_dreamsim.DreamSimConfig", | |
| "AutoModel": "modeling_dreamsim.DreamSimModel" | |
| }, | |
| "dreamsim_type": "ensemble", | |
| "model_types": "dino_vitb16,clip_vitb16,open_clip_vitb16", | |
| "feat_types": "cls,embedding,embedding", | |
| "strides": "16,16,16", | |
| "img_size": 224, | |
| "embed_size": 1792, | |
| "normalize_embeds": true, | |
| "lora_merged": true, | |
| "torch_dtype": "float32" | |
| } | |