Instructions to use datlaaaaaaa/47f518fa-0b53-44f0-985a-6b4f0da10500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/47f518fa-0b53-44f0-985a-6b4f0da10500 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Mistral-7b-128k") model = PeftModel.from_pretrained(base_model, "datlaaaaaaa/47f518fa-0b53-44f0-985a-6b4f0da10500") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a131f3f7486f81cc6eb4420b5845baea7723ed0de514d44e48f60b9b5b13384
- Size of remote file:
- 6.78 kB
- SHA256:
- 3e561d9a49628b936c6ef97bf6c0545a36e26376494a34972d2c74af00231424
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