Instructions to use rbentaarit/kubelm-qwen3.5-2b-v1-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rbentaarit/kubelm-qwen3.5-2b-v1-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, "rbentaarit/kubelm-qwen3.5-2b-v1-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7568c6777fe655119592a73d331f323d7ebb7a4289bfd413ec0b92ecd114b4a
- Size of remote file:
- 87.3 MB
- SHA256:
- 8c024373a606298dcba162ae639b789456d0829e75c9c3a218c3d0935d3f6da6
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