Instructions to use aakashjapi/temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aakashjapi/temp with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://aakashjapi/temp") - Notebooks
- Google Colab
- Kaggle
| [project] | |
| name = "tf-env" | |
| version = "0.1.0" | |
| description = "Add your description here" | |
| readme = "README.md" | |
| requires-python = ">=3.13" | |
| dependencies = [ | |
| "tensorflow>=2.20.0", | |
| "huggingface-hub>=0.25.0", | |
| ] | |