Instructions to use suyagi/sains-data-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use suyagi/sains-data-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://suyagi/sains-data-model") - Notebooks
- Google Colab
- Kaggle
| { | |
| "AK": 0, | |
| "BCC": 1, | |
| "BKL": 2, | |
| "DF": 3, | |
| "MEL": 4, | |
| "NV": 5, | |
| "SCC": 6, | |
| "VASC": 7 | |
| } |