Instructions to use ShirinYamani/mistral7b-fine-tuned-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ShirinYamani/mistral7b-fine-tuned-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "ShirinYamani/mistral7b-fine-tuned-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d1314347c7dec065ba044751fbea1875a0a9bdfce63ef303cabd440b935c361
- Size of remote file:
- 27.3 MB
- SHA256:
- 89fc48c11dadf4befa26671bdff408a8fe6f4cce0d8b2e23ad7568778ec29f84
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