Instructions to use masonjar/mixtral_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use masonjar/mixtral_test 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, "masonjar/mixtral_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff4356455c6adb8a2a9374296cfc5e1cb714b38f13a90dea7b718583d9cda02d
- Size of remote file:
- 5.82 kB
- SHA256:
- d75d1e23cbe7e99cfa65425248951c0733d34851ff4f324bbeccb12f6c76cea0
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