Image Feature Extraction
Transformers
Safetensors
English
nearid
feature-extraction
identity-embedding
siglip2
vision
image-similarity
metric-learning
contrastive-learning
custom_code
Eval Results (legacy)
Instructions to use Aleksandar/nearid-siglip2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aleksandar/nearid-siglip2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Aleksandar/nearid-siglip2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aleksandar/nearid-siglip2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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