Hacktoberfest 2026: the issues maintainers tagged for October, open and beginner-friendly. Browse Hacktoberfest issues

Windows Support

Open
#1,206 0 comments 3 reactions 0 assignees View on GitHub

Maintainers usually reply within 1 day

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python, tensorflow

Research direction

Start by reviewing the tf-models-official dependency on tensorflow-text and the linked Windows-support discussion. Done means either removing tensorflow-text as a formal dependency for Windows users or restoring Windows support, but the issue does not identify files or tests.

Written by the indexing model from the issue text.

Description

Hi,

I am running on a windows machine and need to install tf-models-official (version 2.13) for computer vision purposes (nothing to do w/ TF Text). However, tf-models-official has tensorflow-text as a dependency. Since there is currently no support for tensorflow-text in windows (see here), this is screwing up my whole setup

tf-models-official is a big-tent package with a lot of different unrelated use cases - and currently tensorflow-text is screwing up its use on all Windows machines. This is really a crappy situation that should be remedied.

I propose either tensorflow-text stops being a formal requirement for tf-models-official OR tensorflow-text starts offering windows support again.

(For anyone wondering, I had to install tf-models-official in pip using the --no-deps parameter and then installed each of the other dependencies one-by-one - very hacky solution)

Thanks,
Roman

Dominant language
C++
Stars
1.3k
Forks
378
Avg merge
10h 48m
Merged PRs (30d)
2

Getting set up

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.

More from tensorflow/text

All issues in tensorflow/text

Similar issues

More C++ issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.