Instructions to use hongngo/8473b6c9-d112-40f4-b178-9b0e6d3e5e9f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/8473b6c9-d112-40f4-b178-9b0e6d3e5e9f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "hongngo/8473b6c9-d112-40f4-b178-9b0e6d3e5e9f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0af9cf62d4d5c9532115e663b1a58cbd509e42e4a551a1eb79d72509536035c
- Size of remote file:
- 41.7 MB
- SHA256:
- f9b313e06685805a56ba2bce137c15ca580bc0e5bf607602e069d878c57f3d53
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.