Instructions to use RFZL/RFZLAi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use RFZL/RFZLAi with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:RFZL/RFZLAi') tokenizer = open_clip.get_tokenizer('hf-hub:RFZL/RFZLAi') - Notebooks
- Google Colab
- Kaggle
|
Download README.md from RFZL/RFZLAi: direct link, hf CLI and curl.
- Browser
- Download file 165 Bytes
-
https://huggingface.co/RFZL/RFZLAi/resolve/main/README.md
- Command line
-
hf download hf://RFZL/RFZLAi/README.md
-
curl -L -o README.md https://huggingface.co/RFZL/RFZLAi/resolve/main/README.md
165 Bytes
metadata
license: openrail
datasets:
- Open-Orca/OpenOrca
language:
- tr
base_model:
- openai/privacy-filter
pipeline_tag: image-text-to-image
library_name: open_clip