Instructions to use sumedh/pretrained-word-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sumedh/pretrained-word-embeddings with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sumedh/pretrained-word-embeddings") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f0d8450e8899d136b298b8f6b706304df36e1455f4ec264f0b21b093d6d111a
- Size of remote file:
- 175 kB
- SHA256:
- 9c78ed8cf96c48fc7e32310e47cc1b714936829d50a4996cad8e8f8e9e506da2
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