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:
- d718220ff6f484b764bcc9d43c972d5c27908bbc55d15d7a183114e36b3876d4
- Size of remote file:
- 797 kB
- SHA256:
- 3944a27531bd19fa4905837b0985c3406abec63675d589875bc2064541a26e22
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