Instructions to use 1-lock/7fa7519a-dce7-4294-aef9-4608ed122d8d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/7fa7519a-dce7-4294-aef9-4608ed122d8d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "1-lock/7fa7519a-dce7-4294-aef9-4608ed122d8d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d723692e38cf0d62f765cbf89e31304b2b957514e571a2d00362f6708650eb5c
- Size of remote file:
- 6.84 kB
- SHA256:
- 48c4583b7a2b9252905befcca482ad187c2f3cfe2a35304022030b1e0fd905f2
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