Instructions to use hfzdzakii/Dicoding-PoemSentimentClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hfzdzakii/Dicoding-PoemSentimentClassification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://hfzdzakii/Dicoding-PoemSentimentClassification") - Notebooks
- Google Colab
- Kaggle
Delete model/best_model_deepseek_0.2_lstm.keras
Browse files
model/best_model_deepseek_0.2_lstm.keras
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:23729ebee38e1cedd067393c40d1dd1b6f526935859c3b5807582658703c8fd6
|
| 3 |
-
size 33041794
|
|
|
|
|
|
|
|
|
|
|
|