Instructions to use Chat-Error/Llama-3-Kimiko-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Chat-Error/Llama-3-Kimiko-temp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "Chat-Error/Llama-3-Kimiko-temp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51de25eaf16f3a4e53c2c582ba6df39b231ec2c1df019b91e3e974e5a68b1d50
- Size of remote file:
- 671 MB
- SHA256:
- 1b76949094c65c044b60756beb00e0353e074b74d5d6cd9905cf1e0ae6d1e5c9
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