Instructions to use prxy5605/5a560af8-c547-417a-99ea-eccfb62a7d4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/5a560af8-c547-417a-99ea-eccfb62a7d4b 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, "prxy5605/5a560af8-c547-417a-99ea-eccfb62a7d4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0c6bb1e90778f471153a8de7345a03ab0452950a453bf07e25f17e4f2c94959
- Size of remote file:
- 14.2 kB
- SHA256:
- 739e3fb352551420df98ae3a088c35a7c5a698ca89cc27f457233ab3c3fa9ebc
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