Comments (4)
tomasmcz
commented on May 16, 2024
Do you really think we should do this before MTM? What will this be good for? I think that there are much more important think to do right now.
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jindrahelcl
commented on May 16, 2024
za mě rozhodně jo.
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jlibovicky
commented on May 16, 2024
It's super easy, less than half-an-hour of work, and it will look very cool. Moreover, we need it for the subtitles chatbot ;-)
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tomasmcz
commented on May 16, 2024
OK. Then one of you should assign himself to this and have it done before MTM.
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Related Issues (20)
- max_length must be undefined when using SequenceLabeler HOT 1
- learning_utils.join_exection_results does not support OutputSeries == dict
- from_dataset does not exist HOT 2
- dataset.from_files HOT 1
- Confusing Exception message in dataset.py
- Add an output buffering for neuralmonkey-run HOT 2
- Unify dropout usage
- GreedyRunner should not fetch training-related tensors by default during inference HOT 4
- Running as server is broken HOT 1
- neuralmonkey-run with RNN model does not work without reference HOT 1
- Dataset series should support max_len (max_size) flag.
- Neural Monkey does not throw exception when main.initial_variables contains nonexistent path.
- Neural Monkey should throw Exception when tf.Saver.restore fails
- How to train a transformer model with multi-source encoders ? HOT 3
- Exception: Unexpected fields: runners_batch_size HOT 1
- Requirement of editing the post-edit.ini and translation.ini for APE and MT respectively HOT 1
- The Model Configuration in Machine Translation task HOT 1
- some questions about multi-source based transformer model HOT 2
- Did you mean file './dataset.load_dataset_from_files'? HOT 1
- Interested in your paper HOT 1
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