Image Feature Extraction
Transformers
Safetensors
siglip
zero-shot-image-classification
siglip2
vision
clip
image-embeddings
pet-recognition
Instructions to use AvitoTech/SigLIP2-giant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AvitoTech/SigLIP2-giant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="AvitoTech/SigLIP2-giant")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("AvitoTech/SigLIP2-giant") model = AutoModelForZeroShotImageClassification.from_pretrained("AvitoTech/SigLIP2-giant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,150 Bytes
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"architectures": [
"SiglipModel"
],
"model_type": "siglip",
"text_config": {
"architectures": [
"SiglipTextModel"
],
"attention_dropout": 0.0,
"dropout": 0.0,
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 1152,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 4304,
"layer_norm_eps": 1e-06,
"max_position_embeddings": 64,
"model_type": "siglip_text_model",
"num_attention_heads": 16,
"num_hidden_layers": 27,
"pad_token_id": 0,
"vocab_size": 256000,
"projection_size": 1536
},
"vision_config": {
"architectures": [
"SiglipVisionModel"
],
"attention_dropout": 0.0,
"dropout": 0.0,
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 1536,
"image_size": 384,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 6144,
"layer_norm_eps": 1e-06,
"model_type": "siglip_vision_model",
"num_attention_heads": 16,
"num_channels": 3,
"num_hidden_layers": 40,
"patch_size": 16
},
"vision_dim": 1536
} |