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:
- cd4fc9b3011abea708d70c362f34e4ae9276b9d244156a418ddce0791464f37a
- Size of remote file:
- 84 MB
- SHA256:
- 6d615274684975ba4f0c497007c56589670f6984deea913e6d81a7c20ed202d0
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