Instructions to use Sylcom/Chandlier_AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use Sylcom/Chandlier_AI with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:Sylcom/Chandlier_AI') tokenizer = open_clip.get_tokenizer('hf-hub:Sylcom/Chandlier_AI') - Notebooks
- Google Colab
- Kaggle
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Download README.md from Sylcom/Chandlier_AI: direct link, hf CLI and curl.
- Browser
- Download file 172 Bytes
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https://huggingface.co/Sylcom/Chandlier_AI/resolve/main/README.md
- Command line
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hf download hf://Sylcom/Chandlier_AI/README.md
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curl -L -o README.md https://huggingface.co/Sylcom/Chandlier_AI/resolve/main/README.md
172 Bytes
| license: artistic-2.0 | |
| datasets: | |
| - anon8231489123/ShareGPT_Vicuna_unfiltered | |
| language: | |
| - aa | |
| metrics: | |
| - charcut_mt | |
| library_name: open_clip | |
| pipeline_tag: text-to-image | |