Instructions to use thakkkkkk/ff3ea461-d7f9-41be-9f0f-748f15b70fc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thakkkkkk/ff3ea461-d7f9-41be-9f0f-748f15b70fc4 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, "thakkkkkk/ff3ea461-d7f9-41be-9f0f-748f15b70fc4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31adea7bde14cc63155024a77b182229db5203971a8dfc9aa38a136cc08e9d98
- Size of remote file:
- 6.78 kB
- SHA256:
- d48e7bd594810fad4b183f2e86402dd75cddaa62e05f04090b79d25c17755578
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