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:
- 9111b79004c26dcd482c0135458388cfc57fe60d8d7ab1a216e72efb40c01a3d
- Size of remote file:
- 83.9 MB
- SHA256:
- 9d6664e639dfc8170cf1e5a8c45c24ae95512e5785b4ca3663cd8f9dceec9182
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