Instructions to use Changahou/Llama8B_mathinstruct_SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Changahou/Llama8B_mathinstruct_SFT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/chenjh2/disk_chenjh/models/models/Llama-3-8b-Instruct") model = PeftModel.from_pretrained(base_model, "Changahou/Llama8B_mathinstruct_SFT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa3daf2ed9cbe06876b4515e08f294eca1ad98503933c31118b607606f14c89f
- Size of remote file:
- 15.9 kB
- SHA256:
- 46e863ccbeb33f63500837d09863ef3adcd166f62fecc4ba15381b85df3aba35
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