Instructions to use Therealsickonechase-bit/Missionai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Therealsickonechase-bit/Missionai with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Therealsickonechase-bit/Missionai", set_active=True) - Notebooks
- Google Colab
- Kaggle
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license: bigscience-openrail-m
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---
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license: bigscience-openrail-m
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datasets:
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- OpenDataArena/MMFineReason-1.8M-Qwen3-VL-235B-Thinking
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- openbmb/UltraData-Math
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language:
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- en
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metrics:
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- accuracy
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- bertscore
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- cer
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- character
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- code_eval
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base_model:
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- Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
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- deepseek-ai/DeepSeek-OCR-2
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- MiniMaxAI/MiniMax-M2.5
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new_version: moonshotai/Kimi-K2.5
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pipeline_tag: feature-extraction
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library_name: adapter-transformers
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tags:
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- code
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---
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