Instructions to use 0x1202/71389a2f-096c-480a-ae37-c3a901e5d2bd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/71389a2f-096c-480a-ae37-c3a901e5d2bd 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, "0x1202/71389a2f-096c-480a-ae37-c3a901e5d2bd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1c74047c1e7208f689afa543095658257f08d607399c7463a009b93326ce577
- Size of remote file:
- 671 MB
- SHA256:
- 6852f9a47248925238c0ffbf0a51bc10a527d81250ff1ea6a791402af9e68401
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