Instructions to use MoyAI/password-security with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MoyAI/password-security with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MoyAI/password-security") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -6,4 +6,6 @@ tags:
|
|
| 6 |
- password
|
| 7 |
---
|
| 8 |
|
| 9 |
-
This is a keras model that gives a binary response showing how secure is a password. The `start.py` file has a `clf` function that inputs a string of a password and responds with a 0-1 float value. 1 means secure and 0 insecure.
|
|
|
|
|
|
|
|
|
| 6 |
- password
|
| 7 |
---
|
| 8 |
|
| 9 |
+
This is a keras model that gives a binary response showing how secure is a password. The `start.py` file has a `clf` function that inputs a string of a password and responds with a 0-1 float value. 1 means secure and 0 insecure.
|
| 10 |
+
I used this password list as a dataset + random password generation using the `random` library (I know, it's not very secure but this is for a dataset).
|
| 11 |
+
https://github.com/Legoclones/password-cracking/blob/main/dictionaries/rockyou-15.txt
|