Instructions to use victorious09/lora_tinyllama_korean_script with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use victorious09/lora_tinyllama_korean_script with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T") model = PeftModel.from_pretrained(base_model, "victorious09/lora_tinyllama_korean_script") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56fe3b92873b3384cb62f796c3766767afcd70f108d314dd7a911f9c0448dfbd
- Size of remote file:
- 5.62 kB
- SHA256:
- 023ddc280becfae7acbe5305e820032c86201978071f8febc6de4f4ee6677b8b
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