Instructions to use chipstack/chipmonk-peft-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chipstack/chipmonk-peft-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-70B-Instruct") model = PeftModel.from_pretrained(base_model, "chipstack/chipmonk-peft-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86555335a329372d09e612edb8af8b99ca11e360c3549d359cdd71c2f41a0079
- Size of remote file:
- 5.18 kB
- SHA256:
- 77ba78976253b3542ab7eb1a1d64ca981b07acfce5a8999e871f286812fec44c
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