Instructions to use alfered2000/anna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use alfered2000/anna with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("alfered2000/anna", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from alfered2000/anna: direct link, hf CLI and curl.
- Browser
- Download file 223 Bytes
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https://huggingface.co/alfered2000/anna/resolve/main/README.md
- Command line
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hf download hf://alfered2000/anna/README.md
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curl -L -o README.md https://huggingface.co/alfered2000/anna/resolve/main/README.md
223 Bytes
| license: apache-2.0 | |
| datasets: | |
| - NovaSky-AI/Sky-T1_data_17k | |
| language: | |
| - ar | |
| metrics: | |
| - bertscore | |
| base_model: | |
| - hexgrad/Kokoro-82M | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| library_name: adapter-transformers | |
| tags: | |
| - finance | |