Zero-Shot Image Classification
OpenCLIP
PyTorch
English
clip
biology
CV
images
animals
species
taxonomy
rare species
endangered species
evolutionary biology
multimodal
knowledge-guided
Instructions to use Omega02gdfdd/Omega-bioclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use Omega02gdfdd/Omega-bioclip with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:Omega02gdfdd/Omega-bioclip') tokenizer = open_clip.get_tokenizer('hf-hub:Omega02gdfdd/Omega-bioclip') - Notebooks
- Google Colab
- Kaggle
File size: 316 Bytes
c841bba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"crop_size": 224,
"do_center_crop": true,
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "CLIPFeatureExtractor",
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"resample": 3,
"size": 224
}
|