Instructions to use laquythang/48010555-f89c-43f1-a237-b479ea7ca2fd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/48010555-f89c-43f1-a237-b479ea7ca2fd 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, "laquythang/48010555-f89c-43f1-a237-b479ea7ca2fd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e134d52badf7d253e41f8b3d808944b708006da761b46d512574798d3729ad49
- Size of remote file:
- 84 MB
- SHA256:
- 45c56f451fb4f1b20d2c2bba8dd3a4f06fdf5cf02bf219842ae77f69d2d07eff
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