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:
- ebc0ff72a3d6b43577ded2d7324b7dc951b0d887683b3cec6056a6571b18275a
- Size of remote file:
- 1.06 kB
- SHA256:
- 57b66a7773150afb7a3d7ef310e6a0964d0eeaaa7ed1414bbadf448178a2d162
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