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:
- 14145624a7c791f0fe34f00d83a1346115b21af90c10e7c4e191ca5b09a3ba9e
- Size of remote file:
- 262 MB
- SHA256:
- 111ecb4bc5697b5276db9761da6d2f9c8c15a714e038d0f5e52ca2e866394957
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