Instructions to use OpenLab-NLP/Experiments-and-others with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OpenLab-NLP/Experiments-and-others 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/Experiments-and-others") - Notebooks
- Google Colab
- Kaggle
Download ko_bpe.json from OpenLab-NLP/Experiments-and-others: direct link, hf CLI and curl.
- Browser
- Download file 974 kB
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https://huggingface.co/OpenLab-NLP/Experiments-and-others/resolve/4914f1bf6f6359be350424edff6e5f5a7e1cebb4/ko_bpe.json
- Command line
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hf download hf://OpenLab-NLP/Experiments-and-others@4914f1bf6f6359be350424edff6e5f5a7e1cebb4/ko_bpe.json
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curl -L -o ko_bpe.json https://huggingface.co/OpenLab-NLP/Experiments-and-others/resolve/4914f1bf6f6359be350424edff6e5f5a7e1cebb4/ko_bpe.json
974 kB
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