Instructions to use Ricosama/outputM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ricosama/outputM 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/outputM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f628d6e19b7aceca8cc8de8269cb5e8b1fc62b17aa2399ca8e118993a7ceb7c
- Size of remote file:
- 4.73 kB
- SHA256:
- 57b41cc5ebcbb15ac31f4798d8225fbfdf34030b94dc10c12a29707042333f09
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