Instructions to use joboffer/0fda9c3f-a180-4d4f-9e54-a042a241f381 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use joboffer/0fda9c3f-a180-4d4f-9e54-a042a241f381 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, "joboffer/0fda9c3f-a180-4d4f-9e54-a042a241f381") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0931a704484e074053bd1b012e924367a891a9f4568ef70f65a81eee18b858b7
- Size of remote file:
- 6.84 kB
- SHA256:
- 55fb598648191ba37c35442bd544961e7c5bca24c218bb661a3df6ff3adb4aad
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