Instructions to use mrHungddddh/6670f094-938d-4b20-ac7f-4aceb28e31d2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/6670f094-938d-4b20-ac7f-4aceb28e31d2 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, "mrHungddddh/6670f094-938d-4b20-ac7f-4aceb28e31d2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7aca08436a88fc2dbcf42dc9a5b5fe4f9ef919315cbed229ccd7797f94d72651
- Size of remote file:
- 6.78 kB
- SHA256:
- 1647c08f4b69ff2c1b08d664b3a0772b1bfbf178df6f07643ac51e8c45e66660
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