Instructions to use Ricosama/outputN1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ricosama/outputN1 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/outputN1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c6ea94eaa92bb872c4e214d43259af75c868ac80fffd478b068712ce414a5dc
- Size of remote file:
- 4.86 kB
- SHA256:
- f3f9d08e7a672b559e0da85548bdffda330b84cf7607dd5b629c7e3ed5185350
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.