Instructions to use aleegis12/3a8d2a77-5632-4569-a84f-021e00ec804c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/3a8d2a77-5632-4569-a84f-021e00ec804c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "aleegis12/3a8d2a77-5632-4569-a84f-021e00ec804c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eec884c800394e1073bee304db5809c53cde83e4cb12d422867b430c563fb7ec
- Size of remote file:
- 341 MB
- SHA256:
- 5fd184028f04a0e7c74164c89bee20a12c74499463ae97be79cbb7acdb860c9d
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