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:
- 34172f942c4724a7a2eba9999f199bedc94465f43186e29d40b0c84e51aa8073
- Size of remote file:
- 1.34 GB
- SHA256:
- 434a8677dbd37859f1505d64fc5894c2497bd34726f150c149573dedce0e3df9
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