Instructions to use JabaleNurAdnan/CS_Checkpoints_Dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use JabaleNurAdnan/CS_Checkpoints_Dataset with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://JabaleNurAdnan/CS_Checkpoints_Dataset") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 3.19 MB xet
- 2.29 MB xet
- 430 kB xet
- 1.53 MB xet
- 15 MB xet
- 6.17 MB xet
- 869 kB xet
- 2.2 MB xet
- 4.05 MB xet
- 3.06 MB xet
- 3.05 MB xet
- 1.11 MB xet
- 2.18 MB xet
- 1.88 MB xet
- 6.58 MB xet
- 599 kB xet
- 4.79 MB xet
- 10.1 MB xet
- 2.55 MB xet
- 10.5 MB xet
- 371 kB xet
- 629 kB xet
- 2.78 MB xet
- 1.58 MB xet
- 8.22 MB xet
- 3.06 MB xet
- 3.24 kB xet
- 177 kB xet
- 3.78 MB xet
- 14.6 MB xet