Instructions to use avatartsmart/4dat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use avatartsmart/4dat with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("avatartsmart/4dat", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from avatartsmart/4dat: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
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https://huggingface.co/avatartsmart/4dat/resolve/main/README.md
- Command line
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hf download hf://avatartsmart/4dat/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/avatartsmart/4dat/resolve/main/README.md
168 Bytes
| license: openrail | |
| datasets: | |
| - Open-Orca/OpenOrca | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| library_name: adapter-transformers | |
| pipeline_tag: image-to-text | |
| tags: | |
| - Bakan | |