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:
- e32f2df94c3d153ad5833eac836cf5e2268adccb14d8b6740d071bb1ce6a04fa
- Size of remote file:
- 5.43 kB
- SHA256:
- 0d7c0aae1f8994a7ea059b3b10354e6f5dbb900895bb439e6a2a18f510f32220
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