Instructions to use sharktide/TornadoTrustNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/TornadoTrustNet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sharktide/TornadoTrustNet") - Notebooks
- Google Colab
- Kaggle
| from tensorflow.keras.models import load_model | |
| import tensorflow as tf | |
| from tensorflow.keras.saving import register_keras_serializable | |
| from tensorflow.keras import layers, models, backend as K | |
| def trust_activation(x): | |
| return 0.5 + tf.sigmoid(x) | |
| CUSTOM_OBJECTS = { | |
| 'trust_activation': trust_activation, | |
| 'mse': tf.keras.losses.MeanSquaredError() | |
| } |