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Bump torchtext from 0.6.0 to 0.17.2 #18

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@dependabot dependabot bot commented on behalf of github Apr 1, 2024

Bumps torchtext from 0.6.0 to 0.17.2.

Release notes

Sourced from torchtext's releases.

TorchText 0.17.2 Release

This release is compatible with PyTorch 2.2.2 patch release. There are no new features added.

TorchText 0.17.1 Release

This release is compatible with PyTorch 2.2.1 patch release. There are no new features added.

TorchText 0.17.0 Release

This release is compatible with PyTorch PyTorch 2.2.0. There are no new features added.

TorchText 0.16.2 Release

This is a patch release, which is compatible with PyTorch 2.1.2. There are no new features added.

TorchText 0.16.1

This is a patch release, which is compatible with PyTorch 2.1.1. There are no new features added.

Torchtext 0.16

Current status

As of September 2023 we have paused active development of TorchText because our focus has shifted away from building out this library offering. We will continue to release new versions but do not anticipate any new feature development as we figure out future investments in this space.

Bug Fixes

  • Update links to multi30k dataset since original servers are down (#2194)
  • Use filelock to block on concurrent model downloads (#2166)

New Features

  • Add support for __contains__ for Vectors class (#2144)
  • Add generation utility support to T5Bundle (#2146)
  • Add option to ignore UTF-8 decoding error to scripted tokenizer (#2134)
  • Add shift-right method to T5 model (#2131)
  • Add XLMR and RoBERTa transforms as factory functions (#2102)
  • Make sure to include padding mask in generation (#2096)
  • (Prototype) Add top-p and top-k sampling (#2137)

TorchText 0.15.2 Release

This is a minor release, which is compatible with PyTorch 2.0.1. There are no new features added.

v0.15.1

Highlights

In this release, we add a new model architecture along with pre-trained weights, increase flexibility in our tokenizers, and improve the overall stability of the library.

  • Added T5 & Flan-T5 model architecture with pre-trained weights
  • Added DistilRoBERTa
  • Added tutorial showing T5 in action
  • Added prototype GenerationUtils

Models

Torchtext expanded its models to include both T5, Flan-T5 and DistilRoBERTa along with the corresponding pre-trained model weights. These additions represent both the smallest and largest models available in Torchtext to date as well as the first encoder/decoder model with T5. As usual, all models are Torchscriptable.

... (truncated)

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Bumps [torchtext](https://github.com/pytorch/text) from 0.6.0 to 0.17.2.
- [Release notes](https://github.com/pytorch/text/releases)
- [Commits](pytorch/text@0.6.0...v0.17.2)

---
updated-dependencies:
- dependency-name: torchtext
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Apr 1, 2024
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