Instructions to use Sag1012/machine-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Sag1012/machine-translation 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://Sag1012/machine-translation") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
This model has 5 files scanned as unsafe.
- BiLSTM
- BiLSTM_2
- EncoderDecoder_1
- EncoderDecoder_2
- EncoderDecoder_3
- EncoderDecoder_4
- EncoderDecoder_5
- EncoderDecoder_6
- EncoderDecoder_7
- GRU_with_attention ver2
- GRU_with_attention ver3
- GRU_with_attention ver4
- GRU_with_attention
- GRU_with_attention_ver4
- GRU_with_attention_ver5
- GRU_with_attention_ver6
- GRU_with_attention_ver7
- LSTM_Attention_1
- LSTM_Attention_2
- LSTM_Attention_3
- LSTM_Attention_4
- LSTM_Attention_5
- MarianMT
- MarianMT_3
- MarianMT_ver2
- MarianMT_ver4
- MarianMT_ver5
- MarianMT_ver6
- Summarization
- T5
- T5_ver2
- T5_ver3
- T5_ver4
- 2 kB