Instructions to use ferrorist/korean-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ferrorist/korean-llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "ferrorist/korean-llama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b75d85fcc8f315d98b0b5b291a89ce8dafb3b2edcb5d66162f921a7189c23d28
- Size of remote file:
- 4.86 kB
- SHA256:
- f126e331cec0c5f91687f232236c71cf781c91a8026e377ac27dfc01a62fa575
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