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
-
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
metadata
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