Instructions to use datlaaaaaaa/b1e0bc10-27bd-47dc-b8e9-cf297a8c6bd1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/b1e0bc10-27bd-47dc-b8e9-cf297a8c6bd1 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, "datlaaaaaaa/b1e0bc10-27bd-47dc-b8e9-cf297a8c6bd1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa221faf01ab8ce5f2df82aa8d020f7cde83eaa2b058e736aedd09a11c9b8261
- Size of remote file:
- 6.78 kB
- SHA256:
- a08bf6cad46457a73f9e32543e07c37cd5390b9c4847b3a9bfdb52be405310fa
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