Comments (1)
You can try warming up the model first with a couple of sentences and then do your big batch corrections, that should slightly help. Overall it'll be slower as we have to call model.predict() len(longest sentence) times.
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Related Issues (20)
- KeyError if input text size greater than around 400 chars HOT 1
- Why a Seq2Seq instead of Classification Network? HOT 5
- Speeding things up (it is slow) HOT 4
- missing hyphen HOT 1
- Model Input HOT 4
- Add Tensorflow/Keras to Required libraries for Pip HOT 1
- Please add support for Dutch
- Training on other Dataset HOT 1
- The proportion for "!" is extremely high HOT 2
- can't able to find PRECISION, RECALL or F-SCORE in the repo HOT 1
- Unable to download model to EMR, fix if params and checkpoint provided, avoid redownload
- pypi rebuild automation
- Model corrects even though correct=False
- How to increase indices sequence length? HOT 1
- Issue while initializing the module
- Unwanted whitespace around quotation marks
- Can't detect end of sentence
- Provide Frozen Model HOT 2
- German Language HOT 1
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