Instructions to use Berk/mixtral_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Berk/mixtral_train with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-v0.1") model = PeftModel.from_pretrained(base_model, "Berk/mixtral_train") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d1f819a53f75b5b18c8faa149ec8803c2a701a9c32b9fdb4ab9c8d54baa4d02
- Size of remote file:
- 4.92 kB
- SHA256:
- 27a6de1cbd0c466afbe5cded8ea0a3b0caaafb02169b4a196e52ca2347ca77a1
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