Instructions to use Turfwar/autisticwigger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Turfwar/autisticwigger with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Turfwar/autisticwigger", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: artistic-2.0
datasets:
- fka/awesome-chatgpt-prompts
- agibot-world/AgiBotWorld-Alpha
- cfahlgren1/react-code-instructions
language:
- en
- ja
- he
metrics:
- accuracy
- character
- bertscore
- cer
- code_eval
- charcut_mt
- bleu
- bleurt
- brier_score
- chrf
base_model:
- deepseek-ai/DeepSeek-R1
new_version: deepseek-ai/DeepSeek-R1
pipeline_tag: feature-extraction
library_name: adapter-transformers