Text Generation
PEFT
Safetensors
French
English
lora
sft
trl
qwen3
hardware
eu-ai-act
art-52
art-53
gpai-fine-tune
conversational
Instructions to use Ailiance-fr/qwen3-4b-mascarade-emc-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ailiance-fr/qwen3-4b-mascarade-emc-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "Ailiance-fr/qwen3-4b-mascarade-emc-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92e01cb2dc5e1ccb597c0aa5850ef390f8ba236b9d44f33eebec39a474a11a12
- Size of remote file:
- 66.1 MB
- SHA256:
- 45ca9d9e978cd4d2a9d4c65e4f61c627051905db5725daafae7602727b233eda
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