Instructions to use hs-094/Seq2Seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hs-094/Seq2Seq 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://hs-094/Seq2Seq") - Notebooks
- Google Colab
- Kaggle
Download seq2seq_encoder_decoder.png from hs-094/Seq2Seq: direct link, hf CLI and curl.
- Browser
- Download file 78.6 kB
-
https://huggingface.co/hs-094/Seq2Seq/resolve/main/seq2seq_encoder_decoder.png
- Command line
-
hf download hf://hs-094/Seq2Seq/seq2seq_encoder_decoder.png
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curl -L -o seq2seq_encoder_decoder.png https://huggingface.co/hs-094/Seq2Seq/resolve/main/seq2seq_encoder_decoder.png
78.6 kB
