Instructions to use Jed612/encoder-BLSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Jed612/encoder-BLSTM with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Jed612/encoder-BLSTM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8abbd9ebfd4b4ea7513374c49b384bd1ac6ca0981187f279299cce4b1d58e1e
- Size of remote file:
- 16.1 MB
- SHA256:
- 8b72c93e0d95e5237102f3f94bac5695b81ac36bf821a7dd1543545d9a4271a7
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