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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("navervision/KELIP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from navervision/KELIP: direct link, hf CLI and curl.
- Browser
- Download file 5.55 MB
-
https://huggingface.co/navervision/KELIP/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://navervision/KELIP@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/navervision/KELIP/resolve/refs%2Fpr%2F1/tokenizer.json
5.55 MB
File too large to display, you can check the raw version instead.