Instructions to use irzaevdev/Papito with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use irzaevdev/Papito with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("irzaevdev/Papito") - Notebooks
- Google Colab
- Kaggle
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Download README.md from irzaevdev/Papito: direct link, hf CLI and curl.
- Browser
- Download file 182 Bytes
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https://huggingface.co/irzaevdev/Papito/resolve/main/README.md
- Command line
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hf download hf://irzaevdev/Papito/README.md
-
curl -L -o README.md https://huggingface.co/irzaevdev/Papito/resolve/main/README.md
182 Bytes
metadata
license: openrail
datasets:
- argilla/OpenHermesPreferences
language:
- ru
metrics:
- brier_score
- bertscore
library_name: fastai
pipeline_tag: text-to-image
tags:
- biology