Instructions to use KRAFTON/Raon-VisionEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KRAFTON/Raon-VisionEncoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KRAFTON/Raon-VisionEncoder", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KRAFTON/Raon-VisionEncoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from KRAFTON/Raon-VisionEncoder: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/KRAFTON/Raon-VisionEncoder/resolve/main/.gitignore
- Command line
-
hf download hf://KRAFTON/Raon-VisionEncoder/.gitignore
-
curl -L -o .gitignore https://huggingface.co/KRAFTON/Raon-VisionEncoder/resolve/main/.gitignore
13 Bytes
| __pycache__/ | |