Instructions to use louisguthmann/qwen3.5-2b-shellcommand-linux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use louisguthmann/qwen3.5-2b-shellcommand-linux-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B") model = PeftModel.from_pretrained(base_model, "louisguthmann/qwen3.5-2b-shellcommand-linux-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66f1bdaa61937859291941a9e090381b4c13b7651908b29c2d8d4a414ea40296
- Size of remote file:
- 87.5 MB
- SHA256:
- 7ff862aa6a19ca3f358aec7f8550988de762c659039315cea73d41c1b8b9c096
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