build(deps): bump transformers from 4.26.0 to 4.33.2

[dependabot]

Bumps transformers from 4.26.0 to 4.33.2.

Release notes

Sourced from transformers's releases.

Patch release: v4.33.2

A patch release was done for these two commits:

• Fix pad to multiple of (#25732)
• fix _resize_token_embeddings will set lm head size to 0 when enabled deepspeed zero3 (#26024)

Falcon, Code Llama, ViTDet, DINO v2, VITS

Falcon

Falcon is a class of causal decoder-only models built by TII. The largest Falcon checkpoints have been trained on >=1T tokens of text, with a particular emphasis on the RefinedWeb corpus. They are made available under the Apache 2.0 license.

Falcon’s architecture is modern and optimized for inference, with multi-query attention and support for efficient attention variants like FlashAttention. Both ‘base’ models trained only as causal language models as well as ‘instruct’ models that have received further fine-tuning are available.

• Falcon port #24523 by @​Rocketknight1
• Falcon: Add RoPE scaling by @​gante in #25878
• Add proper Falcon docs and conversion script by @​Rocketknight1 in #25954
• Put Falcon back by @​LysandreJik in #25960
• [Falcon] Remove SDPA for falcon to support earlier versions of PyTorch (< 2.0) by @​younesbelkada in #25947

Code Llama

Code Llama, is a family of large language models for code based on Llama 2, providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks.

• [CodeLlama] Add support for CodeLlama by @​ArthurZucker in #25740
• [CodeLlama] Fix CI by @​ArthurZucker in #25890

ViTDet

ViTDet reuses the ViT model architecture, adapted to object detection.

• Add ViTDet by @​NielsRogge in #25524

DINO v2

DINO v2 is the next iteration of the DINO model. It is added as a backbone class, allowing it to be re-used in downstream models.

• [DINOv2] Add backbone class by @​NielsRogge in #25520

VITS

VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) is an end-to-end speech synthesis model that predicts a speech waveform conditional on an input text sequence. It is a conditional variational autoencoder (VAE) comprised of a posterior encoder, decoder, and conditional prior.

• add VITS model by @​hollance in #24085

Breaking changes:

• 🚨🚨🚨 [Refactor] Move third-party related utility files into integrations/ folder 🚨🚨🚨 by @​younesbelkada in #25599

Moves all third party libs (outside HF ecosystem) related utility files inside integrations/ instead of having them in transformers directly.

In order to get the previous usage you should be changing your call to the following:

... (truncated)

Commits

• 6da93f5 Release: v4.33.2
• b033d1a Fix pad to multiple of (#25732)
• 2ba46c1 fix _resize_token_embeddings will set lm head size to 0 when enabled deepspee...
• 8160e42 Release: v4.33.1
• 118c676 Falcon: fix revision propagation (#26006)
• 5a4f340 Conda build
• 5a6fa3e Conda build
• 19a323e Release: v4.33.0
• 49b69fe [Falcon] Remove SDPA for falcon to support earlier versions of PyTorch (< 2...
• 22a69f1 Put Falcon back (#25960)
• Additional commits viewable in compare view

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[dependabot]

Dependabot tried to add @maintainers as a reviewer to this PR, but received the following error from GitHub:

POST https://api.github.com/repos/okp4/detection-of-personal-data/pulls/115/requested_reviewers: 422 - Reviews may only be requested from collaborators. One or more of the users or teams you specified is not a collaborator of the okp4/detection-of-personal-data repository. // See: https://docs.github.com/rest/pulls/review-requests#request-reviewers-for-a-pull-request

[bot-anik]

@dependabot merge

[dependabot]

One of your CI runs failed on this pull request, so Dependabot won't merge it.

Dependabot will still automatically merge this pull request if you amend it and your tests pass.

[dependabot]

Superseded by #117.