Instructions to use slimdaoud/Picosoft-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use slimdaoud/Picosoft-AI with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("slimdaoud/Picosoft-AI", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
datasets:
- fka/awesome-chatgpt-prompts
- open-thoughts/OpenThoughts-114k
- open-r1/OpenR1-Math-220k
- cais/hle
- simplescaling/s1K
- exp-models/simplescaling-s1K-1.1
- FreedomIntelligence/medical-o1-reasoning-SFT
- PJMixers-Dev/FreedomIntelligence_medical-o1-reasoning-SFT-CustomShareGPT
language:
- fr
- ar
- en
metrics:
- accuracy
- bleurt
- character
- code_eval
- bertscore
- cer
base_model:
- deepseek-ai/DeepSeek-R1
new_version: deepseek-ai/DeepSeek-R1
library_name: adapter-transformers