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
-
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
metadata
license: openrail
datasets:
- Open-Orca/OpenOrca
language:
- en
metrics:
- accuracy
library_name: adapter-transformers
pipeline_tag: image-to-text
tags:
- Bakan