Instructions to use panxinyang/Qwen-Qwen1.5-7B-1718212539 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use panxinyang/Qwen-Qwen1.5-7B-1718212539 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B") model = PeftModel.from_pretrained(base_model, "panxinyang/Qwen-Qwen1.5-7B-1718212539") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66054ac80a0c8aab57ec3823a6ece75b853ad0a5dc013470ea4f4799f11fccf6
- Size of remote file:
- 8.41 MB
- SHA256:
- 755143edb2ceed13682770924decd5e1df5f5e0dc7b485402df05875707e605a
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