Instructions to use prxy5607/ec3cfc36-4631-405d-8963-074d7ac979cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/ec3cfc36-4631-405d-8963-074d7ac979cd 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, "prxy5607/ec3cfc36-4631-405d-8963-074d7ac979cd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ce04dd444f382475d66c5cd33b5287f086acd2b1a9ae20079fa6ddc211d9b5e
- Size of remote file:
- 671 MB
- SHA256:
- 5663be6366a1ca438a54c44f3441b62cd7835b9cea7d1cc2bc59594cee91bf26
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