Instructions to use OpenLab-NLP/Experiments-and-others with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OpenLab-NLP/Experiments-and-others with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://OpenLab-NLP/Experiments-and-others") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a183525f6ca82aec3362db7063f12edab891c310d9ff5f17b362de63dbe22cc7
- Size of remote file:
- 249 kB
- SHA256:
- e3c74b185b6340d6cd9973f82e2d4828142cfdfc0ad96e434868f28b783db4a5
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