tensorflow / tensorflow/models

Add Documentation for seq_flow_lite

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#10,773 0 comments 1 reaction 1 assignee View on GitHub

@thunderfyc is already working on this.

Since Sep 14, 2022.

models:research type:feature
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Python
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Description

Prerequisites

Please answer the following question for yourself before submitting an issue.

  • I checked to make sure that this feature has not been requested already.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/tree/master/research/seq_flow_lite

2. Describe the feature you request

Would it be possible to document or provide the process for pre-training ByteQRNN on multilingual data? Additionally, are there any plans to release model checkpoints?

I read the blog post here which mentions that pre-trained and finetuned ByteQRNN models were evaluated against BERT on the civil_comments dataset and that the models were pre-trained using multilingual data. I would be interested in trying to reproduce this, as well as using the pre-trained models for transfer learning on my own multilingual data (classification + NER).

3. Additional context

N/A

4. Are you willing to contribute it? (Yes or No)

Yes

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Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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