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:
- 6cbbc90ade77e45a4c969aad4e7688cdc879048554d7826ce936f4881e862e7a
- Size of remote file:
- 1.06 kB
- SHA256:
- 73639f1972b1def44ab59d30b0aa0fbdf5acf5e690aa49f5c99073798ec0913f
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