Instructions to use StefD84/A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use StefD84/A with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("StefD84/A", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from StefD84/A: direct link, hf CLI and curl.
- Browser
- Download file 289 Bytes
-
https://huggingface.co/StefD84/A/resolve/main/README.md
- Command line
-
hf download hf://StefD84/A/README.md
-
curl -L -o README.md https://huggingface.co/StefD84/A/resolve/main/README.md
289 Bytes
metadata
datasets:
- open-r1/OpenR1-Math-220k
- Congliu/Chinese-DeepSeek-R1-Distill-data-110k
language:
- en
metrics:
- code_eval
- accuracy
base_model:
- deepseek-ai/DeepSeek-R1
- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
library_name: adapter-transformers
pipeline_tag: text-classification