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:
- e491ac84f0716a9a5af060d52526d02c7a18d9b2c46635c2651347ed520d1abb
- Size of remote file:
- 56.6 MB
- SHA256:
- e96f51aab52613405dba99b5ee59cdcde90000a238d61c45c8dde75fed8e7f04
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