Instructions to use antimage88/181e7566-a5bc-4aaf-8cc5-e4f386f6d57b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/181e7566-a5bc-4aaf-8cc5-e4f386f6d57b 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, "antimage88/181e7566-a5bc-4aaf-8cc5-e4f386f6d57b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3f6b177fabcbafaa832cb05c90263c27559a5d0dd7d88a7ce50c8c5a2cd9411
- Size of remote file:
- 671 MB
- SHA256:
- d131f3a83ffff4387d9adcb80761ae5f7142c708494d480bc54d847c923924da
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