Instructions to use Jason-RBM/job-scam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Jason-RBM/job-scam with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Jason-RBM/job-scam") - Notebooks
- Google Colab
- Kaggle
Delete logistic_regression.pkl
Browse files- logistic_regression.pkl +0 -3
logistic_regression.pkl
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:f344aa0f1f30712558259b4176c7767d283a964d855459a1bd995214b25ac0db
|
| 3 |
-
size 961169
|
|
|
|
|
|
|
|
|
|
|
|