Instructions to use surakarteh/323c2fb2-ee9c-4b15-a58d-a935a8dbc898 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surakarteh/323c2fb2-ee9c-4b15-a58d-a935a8dbc898 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-13b-128k") model = PeftModel.from_pretrained(base_model, "surakarteh/323c2fb2-ee9c-4b15-a58d-a935a8dbc898") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 074565467c8386669df93157bcbc089945bbb60f65e2b66dd70732b9d03a7ccf
- Size of remote file:
- 14.2 kB
- SHA256:
- 9640847b3be67a7dca95848c06b134543694fb680904172c413d1906fd0b1718
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