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 bi_lstm_processor.pkl
Browse files- bi_lstm_processor.pkl +0 -3
bi_lstm_processor.pkl
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:c7879edd1921ac7e99a8a607aac800eeea717f3b41fccd5e25242c1b750d3cac
|
| 3 |
-
size 5329209
|
|
|
|
|
|
|
|
|
|
|
|