Instructions to use OpenLab-NLP/openlem2-retrieval-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OpenLab-NLP/openlem2-retrieval-qa 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-retrieval-qa") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- OpenLab-NLP/triplet-data
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language:
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- ko
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base_model:
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- OpenLab-NLP/openlem2
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pipeline_tag: sentence-similarity
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library_name: keras
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tags:
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- qa
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- retrieval
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- embedding
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- sentence
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