Instructions to use abhayesian/lora-qwen3-32b-docs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abhayesian/lora-qwen3-32b-docs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-32B") model = PeftModel.from_pretrained(base_model, "abhayesian/lora-qwen3-32b-docs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e94db584d6890613f800e282f632981ed9135a8c73b607c31a5a4008ac662418
- Size of remote file:
- 2.15 GB
- SHA256:
- 03ce5a66dac8d6e81381818de03e26b8c148fc275c7c8859ab324f717723dcec
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