Instructions to use ZhanQU/conversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZhanQU/conversion with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "ZhanQU/conversion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81f73c9250f634b4377567270d056cdf3f6120f9fbdaabdea444161a7e24c794
- Size of remote file:
- 23.1 MB
- SHA256:
- 1aefcd8afb7a70241a09a23436f6f34610e6df0cb951e9fa225021b451fa059f
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