Instructions to use phh/Qwen3-0.6B-TLDR-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phh/Qwen3-0.6B-TLDR-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, "phh/Qwen3-0.6B-TLDR-Lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d0ad71d40e524817e588a4540716a79c1c79bc20cbff6f5c3842b83c59366bc
- Size of remote file:
- 9.27 MB
- SHA256:
- e60f193253c04fa0140af875dc45941007ad54298afaefcbc30a22d2702bf345
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