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:
- 6e4ae3d20b7e60e7d71c2404daf824ee04fd62158d9a4dbfac521eb3bb49cad3
- Size of remote file:
- 202 MB
- SHA256:
- 162fb7b21928665249ab3265a468498fff7e00caf071c6210cab1985333b09bb
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