Instructions to use trangtrannnnn/f122d29a-e8b3-4707-a949-40967676a91c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/f122d29a-e8b3-4707-a949-40967676a91c 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, "trangtrannnnn/f122d29a-e8b3-4707-a949-40967676a91c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8230f37322fe41d6ed852cc1d7148155bb7ff145ccc2396d8db7e96b95ccb2c0
- Size of remote file:
- 6.78 kB
- SHA256:
- d1b0cb2d0572e811c953862a7f2882dc7b490cb0546a699cbc0cae4cb7f97639
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