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
Update README.md
Browse files
README.md
CHANGED
|
@@ -34,6 +34,8 @@ More information needed
|
|
| 34 |
|
| 35 |
## Training and evaluation data
|
| 36 |
|
|
|
|
|
|
|
| 37 |
Evaluation Notebook: https://github.com/frank-morales2020/MLxDL/blob/main/FineTunning_Testing_For_AviationQADataset_.ipynb
|
| 38 |
|
| 39 |
|
|
|
|
| 34 |
|
| 35 |
## Training and evaluation data
|
| 36 |
|
| 37 |
+
Accuracy (Eval dataset and predict) for a sample of 1000: 31.00%
|
| 38 |
+
|
| 39 |
Evaluation Notebook: https://github.com/frank-morales2020/MLxDL/blob/main/FineTunning_Testing_For_AviationQADataset_.ipynb
|
| 40 |
|
| 41 |
|