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
metadata
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