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
Upload encoder.weights.h5
Browse files- encoder.weights.h5 +3 -0
encoder.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:98d0f863e24a40168df15d72d79227f82fffa0fd9e2146b072b0f87f0787a607
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size 56586408
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