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 sentence_encoder_model.keras from OpenLab-NLP/Experiments-and-others: direct link, hf CLI and curl.
- Browser
- Download file 23.5 MB
-
https://huggingface.co/OpenLab-NLP/Experiments-and-others/resolve/main/sentence_encoder_model.keras
- Command line
-
hf download hf://OpenLab-NLP/Experiments-and-others/sentence_encoder_model.keras
-
curl -L -o sentence_encoder_model.keras https://huggingface.co/OpenLab-NLP/Experiments-and-others/resolve/main/sentence_encoder_model.keras
23.5 MB
- Xet hash:
- 94ecdcda06a43a206317b4dab89dc245477cc8b67268547534d4bf6e8e254e8a
- Size of remote file:
- 23.5 MB
- SHA256:
- 08ded89e7dc2d06460b8a4eab355bfd63ce6c4303af22afd72af2ca027c970ac
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