Instructions to use bbytxt/20e7b334-e006-4fa9-a3c1-679a76c7dcc9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/20e7b334-e006-4fa9-a3c1-679a76c7dcc9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B") model = PeftModel.from_pretrained(base_model, "bbytxt/20e7b334-e006-4fa9-a3c1-679a76c7dcc9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 683339c92a1e87259292e50b317866e8abd2aeda72014b919499f555d74cf388
- Size of remote file:
- 6.84 kB
- SHA256:
- fd3d4316aa3937379421d66f65d6adc6256bfc52712cfb05322fcb64db125513
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