Instructions to use MSHugg/STWNow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use MSHugg/STWNow with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("MSHugg/STWNow") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - FreedomIntelligence/medical-o1-reasoning-SFT | |
| - NovaSky-AI/Sky-T1_data_17k | |
| - cfahlgren1/react-code-instructions | |
| - bespokelabs/Bespoke-Stratos-17k | |
| - fka/awesome-chatgpt-prompts | |
| language: | |
| - aa | |
| - ab | |
| - av | |
| - ak | |
| - ae | |
| - ay | |
| metrics: | |
| - accuracy | |
| - bertscore | |
| - bleu | |
| - bleurt | |
| - brier_score | |
| - cer | |
| - character | |
| - charcut_mt | |
| - chrf | |
| - code_eval | |
| base_model: | |
| - deepseek-ai/DeepSeek-R1 | |
| - deepseek-ai/DeepSeek-V3 | |
| - deepseek-ai/Janus-Pro-7B | |
| - NovaSky-AI/Sky-T1-32B-Preview | |
| - microsoft/phi-4 | |
| - openbmb/MiniCPM-o-2_6 | |
| - openbmb/MiniCPM-o-2_6-int4 | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| library_name: flair | |