Instructions to use longdnk20/LSTM_CNN_SENTIMENT_PRETRAIN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use longdnk20/LSTM_CNN_SENTIMENT_PRETRAIN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://longdnk20/LSTM_CNN_SENTIMENT_PRETRAIN") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- dd4d1f2e397ad3fb4ca94ed6d7a0dcb0197a736ad321248bc5bd82896dfae91e
- Size of remote file:
- 131 kB
- SHA256:
- c0812bcfab4b9b3ffc175a3171bfbe821b576596a9167196d4c1754ded4c29e5
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