Image Feature Extraction
Transformers
Safetensors
siglip
zero-shot-image-classification
siglip2
vision
image-embeddings
pet-recognition
Instructions to use AvitoTech/SigLIP2-Base-for-animal-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AvitoTech/SigLIP2-Base-for-animal-identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="AvitoTech/SigLIP2-Base-for-animal-identification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("AvitoTech/SigLIP2-Base-for-animal-identification") model = AutoModelForZeroShotImageClassification.from_pretrained("AvitoTech/SigLIP2-Base-for-animal-identification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Fix AutoModel loading, add image processor and Apache-2.0 license (#5)
- Fix AutoModel loading, add image processor and Apache-2.0 license (2babb2cfea623ae7cca8899f671d0724a17f40ff) Co-authored-by: Vasiliy kudryavtsev <Slenser0@users.noreply.huggingface.co>8164be9
-
Update README.md (#2)
Verified signature- Update README.md (1b1d44c5d9b06c219f45b0861962c7deef8a9cfb) Co-authored-by: kiril <korallll@users.noreply.huggingface.co>1166614
-
Update README.md (#1)
Verified signature- Update README.md (3ed4e3ab59a035dc7224d8e24bd4c988252ce62c) Co-authored-by: Vasiliy kudryavtsev <Slenser0@users.noreply.huggingface.co>dc3b1e5
-
Upload 3 files
Verified signature46c95bc -
initial commit
Verified signaturece3af54