Instructions to use papasega/qwen3-wolof-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use papasega/qwen3-wolof-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B") model = PeftModel.from_pretrained(base_model, "papasega/qwen3-wolof-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d911d9823ad9e68fbce944f6425a3699ff533acf84deb516e787c76068a6c537
- Size of remote file:
- 40.4 MB
- SHA256:
- 371ed042a578710a9d32bb528e0a8c0489d619e24102edd795d81cafb04fdc58
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