Instructions to use timm/ViT-B-16-SigLIP2-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/ViT-B-16-SigLIP2-256 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/ViT-B-16-SigLIP2-256') tokenizer = open_clip.get_tokenizer('hf-hub:timm/ViT-B-16-SigLIP2-256') - Notebooks
- Google Colab
- Kaggle
File size: 327 Bytes
cbc771c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"bos_token": {
"content": "<bos>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": "<eos>",
"pad_token": "<pad>",
"unk_token": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}
|