Instructions to use sriram7737/TRASHPRED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sriram7737/TRASHPRED with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sriram7737/TRASHPRED") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 12.4 kB
- 9.6 kB
- 17.9 kB
- 17.5 kB
- 9.18 kB
- 10.6 kB
- 18 kB
- 13.9 kB
- 14.9 kB
- 14.6 kB
- 12.9 kB
- 13.5 kB
- 16.4 kB
- 17.7 kB
- 14.6 kB
- 6.79 kB
- 8.64 kB
- 6.79 kB
- 21 kB
- 10.5 kB
- 8.65 kB
- 13.1 kB
- 10.9 kB
- 12.9 kB
- 10.2 kB
- 8.92 kB
- 19.8 kB
- 11.7 kB
- 13.1 kB
- 11 kB
- 17.9 kB
- 12.1 kB
- 14.9 kB
- 14.7 kB
- 13.4 kB
- 17.9 kB
- 15.5 kB
- 14.3 kB
- 12.9 kB
- 17.7 kB
- 13.6 kB
- 24.7 kB
- 8.96 kB
- 11.5 kB
- 17.1 kB
- 14.1 kB
- 13.3 kB
- 11 kB
- 11.5 kB
- 12.9 kB