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:
- 131fe4f631a5d61969eeaab3ef1321b8dc8c345cb99b03182d0c4159f8afce76
- Size of remote file:
- 83.9 MB
- SHA256:
- 81914c866518d7c72c1e80e6f7555b0fcd334e2caf5499b287adf7962e3292c4
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