Instructions to use adarshcod30/openforensics-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use adarshcod30/openforensics-ensemble with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://adarshcod30/openforensics-ensemble") - Notebooks
- Google Colab
- Kaggle
| { | |
| "pairs": { | |
| "Train|Validation": { | |
| "shared_images": 0, | |
| "pct_of_smaller": 0.0 | |
| }, | |
| "Train|Test": { | |
| "shared_images": 0, | |
| "pct_of_smaller": 0.0 | |
| }, | |
| "Validation|Test": { | |
| "shared_images": 0, | |
| "pct_of_smaller": 0.0 | |
| } | |
| }, | |
| "leaking": false, | |
| "within_split_duplicates": { | |
| "Train": 0, | |
| "Validation": 0, | |
| "Test": 0 | |
| } | |
| } |