Instructions to use hongngo/43f28493-c278-4d80-a4d2-e28b2de6c03a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/43f28493-c278-4d80-a4d2-e28b2de6c03a 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, "hongngo/43f28493-c278-4d80-a4d2-e28b2de6c03a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e6254dfcfb9297175dcf44308c991a0bfd2f69d3d1d9f2607d35d4c0c9800bf
- Size of remote file:
- 6.78 kB
- SHA256:
- 4d5d631593db6d7aad418ea127e9dc73c8004345de43a4b06cd85b9a681aeca0
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