Instructions to use ratnam1510/mistral-small-secure-scan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ratnam1510/mistral-small-secure-scan with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-8B-Instruct-2410") model = PeftModel.from_pretrained(base_model, "ratnam1510/mistral-small-secure-scan") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
CHANGED
|
@@ -48,6 +48,10 @@ The following hyperparameters were used during training:
|
|
| 48 |
- num_epochs: 3
|
| 49 |
- mixed_precision_training: Native AMP
|
| 50 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
### Framework versions
|
| 52 |
|
| 53 |
- PEFT 0.14.0
|
|
|
|
| 48 |
- num_epochs: 3
|
| 49 |
- mixed_precision_training: Native AMP
|
| 50 |
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
|
| 55 |
### Framework versions
|
| 56 |
|
| 57 |
- PEFT 0.14.0
|