Instructions to use lority12/9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use lority12/9 with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("lority12/9") - Notebooks
- Google Colab
- Kaggle
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Download README.md from lority12/9: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
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https://huggingface.co/lority12/9/resolve/main/README.md
- Command line
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hf download hf://lority12/9/README.md
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curl -L -o README.md https://huggingface.co/lority12/9/resolve/main/README.md
236 Bytes
| license: openrail | |
| datasets: | |
| - nvidia/OpenCodeReasoning | |
| language: | |
| - af | |
| metrics: | |
| - bertscore | |
| base_model: | |
| - black-forest-labs/FLUX.1-dev | |
| new_version: sand-ai/MAGI-1 | |
| pipeline_tag: question-answering | |
| library_name: fastai | |
| tags: | |
| - code | |