Instructions to use google/owlv2-large-patch14-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/owlv2-large-patch14-ensemble with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="google/owlv2-large-patch14-ensemble")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlv2-large-patch14-ensemble") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlv2-large-patch14-ensemble") - Notebooks
- Google Colab
- Kaggle
File size: 617 Bytes
f72cd21 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"architectures": [
"Owlv2ForObjectDetection"
],
"initializer_factor": 1.0,
"logit_scale_init_value": 2.6592,
"model_type": "owlv2",
"projection_dim": 768,
"text_config": {
"hidden_size": 768,
"intermediate_size": 3072,
"model_type": "owlv2_text_model",
"num_attention_heads": 12
},
"torch_dtype": "float32",
"transformers_version": "4.35.0.dev0",
"vision_config": {
"hidden_size": 1024,
"image_size": 1008,
"intermediate_size": 4096,
"model_type": "owlv2_vision_model",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"patch_size": 14
}
}
|