Instructions to use gegeta/geta1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use gegeta/geta1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("gegeta/geta1", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from gegeta/geta1: direct link, hf CLI and curl.
- Browser
- Download file 154 Bytes
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https://huggingface.co/gegeta/geta1/resolve/main/README.md
- Command line
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hf download hf://gegeta/geta1/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/gegeta/geta1/resolve/main/README.md
154 Bytes
| license: apache-2.0 | |
| datasets: | |
| - HuggingFaceTB/smollm-corpus | |
| language: | |
| - ko | |
| metrics: | |
| - character | |
| library_name: adapter-transformers | |
| tags: | |
| - biology | |