Instructions to use Ricosama/OutputN2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ricosama/OutputN2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "Ricosama/OutputN2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4ac2db2da5f3f035aca242661c30f8ac104ca83ec1af401386c6adebb1e8e80
- Size of remote file:
- 4.92 kB
- SHA256:
- 8df905a4590d21494ee20647715022fcd3f6f75f52358b63217a35ea4a985952
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