Instructions to use dugoalberto/QwenChat_1.5_Python22kLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dugoalberto/QwenChat_1.5_Python22kLoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-1.8B-Chat") model = PeftModel.from_pretrained(base_model, "dugoalberto/QwenChat_1.5_Python22kLoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b70d67bed2a735dec78173094202e34bb41b62542e7e93eb9b5f5ac7dd62894
- Size of remote file:
- 4.98 kB
- SHA256:
- 630385046daf3a9143f260e099ae361b76e53b21fcdfdf7114c3913d1e95d1de
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