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:
- 902f372da39a98a4d6635a2c45bcaa0f563456469ad3a4effb4aa2c4d01906b3
- Size of remote file:
- 81.6 MB
- SHA256:
- 3af0ded247f667b090bbab560b46b36eb23140fd21030190d3a6c0e9fb1faae1
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