Instructions to use frankmorales2020/Mistral-7B-v0.1_AviationQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use frankmorales2020/Mistral-7B-v0.1_AviationQA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "frankmorales2020/Mistral-7B-v0.1_AviationQA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0051a1a54e4335ed95701501bcae2243a8e27b4c93d4783e9b5fcf9353bb4b77
- Size of remote file:
- 5.43 kB
- SHA256:
- 5bc78c3932415ef95f772cf58629a2cda99d38b23d61dd81d138dd9bbd35f6e4
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