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:
- 45782e8a5fb98f919036d08ec1fd1e56b3cf4544675350d45ab054e729c630d4
- Size of remote file:
- 84 MB
- SHA256:
- 01ee4ce7dcadd0cb0726239af8f671004b16872fcc86bded565886dfecc412a7
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