Instructions to use surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("elyza/Llama-3-ELYZA-JP-8B") model = PeftModel.from_pretrained(base_model, "surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf186dca2275cc4d72c4d349d1fd6a346076ffb6983913a4e39d88fc15307b24
- Size of remote file:
- 14.2 kB
- SHA256:
- f23342f44cba4bcde06a8513119620eeab9f64e64c8cbc90f344262dce661de9
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