Instructions to use effcot/Limo_llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use effcot/Limo_llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "effcot/Limo_llama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d04104270aa3cc36b29616e450df7708fc764311ab01a0ce385ea3b01be10c74
- Size of remote file:
- 83.9 MB
- SHA256:
- b2b1b3eede00b606f0d849b17c36e7ca1f2e22416713c5945aa0dc903ebca3bf
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