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
| 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 | |