Instructions to use VERUMNNODE/OS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VERUMNNODE/OS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("google/magenta-realtime,THUDM/GLM-4.1V-9B-Thinking,moonshotai/Kimi-K2-Instruct,tencent/Hunyuan-A13B-Instruct,nanonets/Nanonets-OCR-s", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("VERUMNNODE/OS") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Update README.md
Browse files# Clone o repositório (caso ainda não tenha)
git clone https://huggingface.co/VERUMNNODE/OS
cd OS
# Crie uma nova branch para seu PR
git checkout -b readme-otimizado
# Edite o arquivo localmente
nano README.md # ou use VSCode, etc.
# Faça commit e envie
git add README.md
git commit -m "Otimização visual e estrutural do README.md"
git push origin readme-otimizado
README.md
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# starting the train job
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huggingface_estimator.fit()
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)
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# starting the train job
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huggingface_estimator.fit()
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# Clone o repositório (caso ainda não tenha)
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git clone https://huggingface.co/VERUMNNODE/OS
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cd OS
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# Crie uma nova branch para seu PR
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git checkout -b readme-otimizado
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# Edite o arquivo localmente
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nano README.md # ou use VSCode, etc.
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# Faça commit e envie
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git add README.md
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git commit -m "Otimização visual e estrutural do README.md"
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git push origin readme-otimizado
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