Instructions to use aleegis12/3ee9f7bb-abd2-40ce-bf06-792a5f44f0fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/3ee9f7bb-abd2-40ce-bf06-792a5f44f0fa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/polyglot-ko-12.8b-safetensors") model = PeftModel.from_pretrained(base_model, "aleegis12/3ee9f7bb-abd2-40ce-bf06-792a5f44f0fa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9bd10dc733070d5fb3484f8dc25186f4697bed009cb4b64bed57f5745443921
- Size of remote file:
- 1.06 kB
- SHA256:
- 2cb8558bc6d45d5a75fbf9d5c97c98ac097732c9c0fca052f9b523926f175692
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