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:
- 2ff475ae764080baf1a419cafe45accdae4614ae5e29fef25947c17e0b0ebf64
- Size of remote file:
- 13.7 MB
- SHA256:
- a3a69e227f82960cb8b64658c247f1249f2065b3d0c1372b774afb3b0303b2a2
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