Instructions to use atom-team/mixtral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use atom-team/mixtral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("atom-team/ru-mixtral-sayga") model = PeftModel.from_pretrained(base_model, "atom-team/mixtral") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac0e4f1e1f70ee49879a6d7e8ea33f6c045ecdcaed3f7834fca4e061768d4865
- Size of remote file:
- 14.2 kB
- SHA256:
- 2c902d54fda0f08a927eb297ee66be627186ae2b399b3f2a0c4b59285eb0daa4
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