Instructions to use 0x1202/71389a2f-096c-480a-ae37-c3a901e5d2bd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/71389a2f-096c-480a-ae37-c3a901e5d2bd 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, "0x1202/71389a2f-096c-480a-ae37-c3a901e5d2bd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef167dca95a18a8de33402a4fec64253fe96c80de31bc1e09f32863707f1c862
- Size of remote file:
- 6.84 kB
- SHA256:
- d037aecc2a26060c1a291a18cb1481b1091eba1b4afd1de1e24323dd73b53f57
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