Bump transformers from 4.23.0 to 4.26.1

[dependabot[bot]]

Bumps transformers from 4.23.0 to 4.26.1.

Release notes

Sourced from transformers's releases.

V4.26.1: Patch release

• ESM openfold_utils type hints by @​ringohoffman in #20544
• Add cPython files in build by @​sgugger in #21372
• Fix T5 inference in float16 + bnb error by @​younesbelkada in #21281
• Fix import in Accelerate for find_exec_bs by @​sgugger in #21501
• Fix inclusion of non py files in package by @​sgugger in #21546

v4.26.0: Generation configs, image processors, backbones and plenty of new models!

GenerationConfig

The generate method has multiple arguments whose defaults were lying in the model config. We have now decoupled these in a separate generation config, which makes it easier to store different sets of parameters for a given model, with different generation strategies. While we will keep supporting generate arguments in the model configuration for the foreseeable future, it is now recommended to use a generation config. You can learn more about its uses here and its documentation here.

• Generate: use GenerationConfig as the basis for .generate() parametrization by @​gante in #20388
• Generate: TF uses GenerationConfig as the basis for .generate() parametrization by @​gante in #20994
• Generate: FLAX uses GenerationConfig as the basis for .generate() parametrization by @​gante in #21007

ImageProcessor

In the vision integration, all feature extractor classes have been deprecated to be renamed to ImageProcessor. The old feature extractors will be fully removed in version 5 of Transformers and new vision models will only implement the ImageProcessor class, so be sure to switch your code to this new name sooner rather than later!

• Add deprecation warning when image FE instantiated by @​amyeroberts in #20427
• Vision processors - replace FE with IPs by @​amyeroberts in #20590
• Replace FE references by @​amyeroberts in #20702

New models

AltCLIP

AltCLIP is a variant of CLIP obtained by switching the text encoder with a pretrained multilingual text encoder (XLM-Roberta). It has very close performances with CLIP on almost all tasks, and extends the original CLIP’s capabilities to multilingual understanding.

• Add AltCLIP by @​jongjyh in #20446

BLIP

BLIP is a model that is able to perform various multi-modal tasks including visual question answering, image-text retrieval (image-text matching) and image captioning.

• Add BLIP by @​younesbelkada in #20716

BioGPT

BioGPT is a domain-specific generative pre-trained Transformer language model for biomedical text generation and mining. BioGPT follows the Transformer language model backbone, and is pre-trained on 15M PubMed abstracts from scratch.

• Add BioGPT by @​kamalkraj in #20420

BiT

BiT is a simple recipe for scaling up pre-training of ResNet-like architectures (specifically, ResNetv2). The method results in significant improvements for transfer learning.

• Add BiT + ViT hybrid by @​NielsRogge in #20550

... (truncated)

Commits

• ae54e3c Fix inclusion of non py files in package (#21546)
• 865bb4e Fix import in Accelerate for find_exec_bs (#21501)
• 02c3f41 Release: v4.26.1
• 1139260 [t5] Fix T5 inference in float16 + bnb error (#21281)
• 38620e1 Add cPython files in build (#21372)
• 820c46a Hotifx remove tuple for git config image processor. (#21278)
• a280cdd Fix MaskFormerImageProcessor.post_process_instance_segmentation (#21256)
• baf0df1 Release: v4.26.0
• fd5cdae Models docstring (#21225)
• 9e86c4e Supported pipeline tasks update (#21268)
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