Text Generation
PEFT
Safetensors
English
Chinese
macaron
a2ui
a2ui-v0.8
lora
dynamic-ui
structured-generation
json-generation
grpo
glm5.1
Instructions to use mindlab-research/Macaron-A2UI-Venti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mindlab-research/Macaron-A2UI-Venti with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-5.1") model = PeftModel.from_pretrained(base_model, "mindlab-research/Macaron-A2UI-Venti") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 813f5d80606571a7190cffc88f1424cbba5a94fb51a089ea5434eb2d3441e7a7
- Size of remote file:
- 3.74 MB
- SHA256:
- a52c4ed3bd6de24b6ce7a3ae32419610aa0869d09d697fe613cfae931c2287a4
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