Instructions to use laquythang/998e1fd2-a943-4493-bc98-73dc14446ec1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/998e1fd2-a943-4493-bc98-73dc14446ec1 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, "laquythang/998e1fd2-a943-4493-bc98-73dc14446ec1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74131ac391e5c07c802d8d4313a2e9605f2f6feb08d78c0e45c7a1620493e249
- Size of remote file:
- 6.78 kB
- SHA256:
- 143d94e71f84647f31cb2ae33f34c80087b212af1d0e5521523c9b5cc79805dd
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