Instructions to use OpenLab-NLP/openlem2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OpenLab-NLP/openlem2 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/openlem2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc9f6909eb7f293ea36aca6a2a2c6b3d9ba14c098287275919cd781db750cf89
- Size of remote file:
- 65.7 MB
- SHA256:
- a0c85cbf9089df999be05706c2c3ef94220e0e13f4c97d70b142855f358f274f
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