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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://OpenLab-NLP/openlem2") - Notebooks
- Google Colab
- Kaggle
Upload encoder_fit.weights.h5
Browse files- encoder_fit.weights.h5 +3 -0
encoder_fit.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:e96f51aab52613405dba99b5ee59cdcde90000a238d61c45c8dde75fed8e7f04
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size 56592008
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