Instructions to use navervision/KELIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navervision/KELIP with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("navervision/KELIP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 384 Bytes
2e59def | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"architectures": [
"KelipModel"
],
"context_length": 77,
"embed_dim": 512,
"image_resolution": 224,
"model_type": "kelip",
"torch_dtype": "float32",
"transformer_heads": 8,
"transformer_layers": 12,
"transformer_width": 512,
"transformers_version": "4.17.0",
"vision_layers": 12,
"vision_patch_size": 32,
"vision_width": 768,
"vocab_size": 98818
}
|