Instructions to use Rahmat15/tenang-in-model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Rahmat15/tenang-in-model1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Rahmat15/tenang-in-model1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "MAX_LEN": 50, | |
| "EMBED_DIM": 100, | |
| "MAX_VOCAB": 5000, | |
| "vocab_size_final": 3543, | |
| "NUM_CLASSES": 7, | |
| "LABEL_MAP": { | |
| "0": "anger", | |
| "1": "anticipation", | |
| "2": "disgust", | |
| "3": "fear", | |
| "4": "joy", | |
| "5": "sadness", | |
| "6": "trust" | |
| }, | |
| "BEST_EPOCH": 19 | |
| } |