Instructions to use chchen/Mistral-Nemo-12B-Instruct-SAA-Half with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/Mistral-Nemo-12B-Instruct-SAA-Half with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "chchen/Mistral-Nemo-12B-Instruct-SAA-Half") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84214eb508db1fb8e66cd9385ab57de8e72030120e53d2c5eb43f8a6c9b54ed0
- Size of remote file:
- 5.5 kB
- SHA256:
- c8721da5565810e97aa6cb4fa9eeba6cfee6228272441e1e99a2f4619bd430e8
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