Instructions to use dong1777/d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use dong1777/d with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("dong1777/d") - Notebooks
- Google Colab
- Kaggle
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Download README.md from dong1777/d: direct link, hf CLI and curl.
- Browser
- Download file 263 Bytes
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https://huggingface.co/dong1777/d/resolve/main/README.md
- Command line
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hf download hf://dong1777/d/README.md
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curl -L -o README.md https://huggingface.co/dong1777/d/resolve/main/README.md
263 Bytes
| license: openrail | |
| datasets: | |
| - FreedomIntelligence/medical-o1-reasoning-SFT | |
| language: | |
| - am | |
| metrics: | |
| - bleurt | |
| base_model: | |
| - manycore-research/SpatialLM-Llama-1B | |
| new_version: black-forest-labs/FLUX.1-dev | |
| pipeline_tag: text-classification | |
| library_name: fastai | |