Comments (5)
fengdanhuang
commented on July 27, 2024
agree with @gaurav0804! The format of training data set will help a lot with contextual data. Besides, @harikodali Could you provide model training code too in the github so we can try the model training part. That will be great!
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hari-krishna-k
commented on July 27, 2024
Will add the training code and data format in 1-2 weeks
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fengdanhuang
commented on July 27, 2024
@harikodali How is the training data and training code so far? Are you going to add soon?
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erksch
commented on July 27, 2024
Also very interested in this!
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bedapudi6788
commented on July 27, 2024
@gaurav0804 @erksch @fengdanhuang the repo now uses huggingface transformers. Please refer to their documentation.
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Related Issues (20)
- KeyError if input text size greater than around 400 chars HOT 1
- how long does it cost when run the example？ 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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