Instructions to use Ricosama/outputM2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ricosama/outputM2 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/outputM2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ffff5e7209936223b822ca238c860ed4d1f8b8398b1ffb8c4db50000210f3f2
- Size of remote file:
- 4.66 kB
- SHA256:
- 2ffd33be2fe9bc38a4ce23d2327f2bdd8842ca5edc2f317a196560086f3f9302
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