Instructions to use chchen/Mistral-Nemo-12B-Instruct-SAA 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 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b07a69e179cd4617855e0096bf55e42e52a40f06abf7fc7ef9bcfef99fabc6b
- Size of remote file:
- 5.43 kB
- SHA256:
- d88fd5474fe75081960e3c81c6cba10621a8aea161cf54aac148830c61546f62
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