chore(deps): bump transformers from 4.48.3 to 4.55.2 in /backend/python/coqui

[dependabot]

Bumps transformers from 4.48.3 to 4.55.2.

Release notes

Sourced from transformers's releases.

Patch release 4.55.2: for FA2 users!

Patch release 4.55.2!

only affects FA2 generations!

😢 Well sorry everyone, sometimes shit can happen... 4.55.1 was broken because of 🥁 git merge conflict. I cherry-picked huggingface/transformers#40002 without having huggingface/transformers#40029 , thus from ..modeling_flash_attention_utils import prepare_fa_kwargs_from_position_ids is missing, and since this is a slow test, nothing caught it.

Will work to remediate and write the post-mortem when yanking the release.

Patch release 4.55.1:

Mostly focused around stabalizing the Mxfp4 for GPTOSS model!

Bug Fixes & Improvements

• Idefics2, Idefics3, SmolVLM – Fix tensor device issue (#39975) by @​qgallouedec
• Merge conflicts – Fix merge conflicts from previous changes by @​vasqu
• MXFP4 / CPU device_map – Default to dequantize when CPU is in device_map (#39993) by @​MekkCyber
• GPT Big Code – Fix attention scaling (#40041) by @​vasqu
• Windows compatibility – Resolve Triton version check compatibility (#39986) by @​Tsumugii24 @​MekkCyber
• Gemma3n model – Add missing None default values for get_placeholder_mask (#39991, #40024) by @​Znerual
• Fuyu model – Fix broken image inference (#39915) by @​Isotr0py
• PerceptionLM – Fix missing video inputs (#39971) by @​shuminghu
• Idefics – Fix device mismatch (#39981) by @​zucchini-nlp
• Triton kernels – Remove triton_kernels dependency in favor of included kernels (#39926) by @​SunMarc
• GPT-OSS MXFP4 – Enable on older hardware (sm75+) (#39940) by @​matthewdouglas @​SunMarc
• MXFP4 quantizer – Allow CPU inference with dequantize option (#39953) by @​returnL

CI & Build

• CI stability – Post-GPT-OSS fixes for green CI (#39929) by @​gante @​LysandreJik

v4.55.0: New openai GPT OSS model!

Welcome GPT OSS, the new open-source model family from OpenAI!

For more detailed information about this model, we recommend reading the following blogpost: https://huggingface.co/blog/welcome-openai-gpt-oss

GPT OSS is a hugely anticipated open-weights release by OpenAI, designed for powerful reasoning, agentic tasks, and versatile developer use cases. It comprises two models: a big one with 117B parameters (gpt-oss-120b), and a smaller one with 21B parameters (gpt-oss-20b). Both are mixture-of-experts (MoEs) and use a 4-bit quantization scheme (MXFP4), enabling fast inference (thanks to fewer active parameters, see details below) while keeping resource usage low. The large model fits on a single H100 GPU, while the small one runs within 16GB of memory and is perfect for consumer hardware and on-device applications.

Overview of Capabilities and Architecture

• 21B and 117B total parameters, with 3.6B and 5.1B active parameters, respectively.
• 4-bit quantization scheme using mxfp4 format. Only applied on the MoE weights. As stated, the 120B fits in a single 80 GB GPU and the 20B fits in a single 16GB GPU.
• Reasoning, text-only models; with chain-of-thought and adjustable reasoning effort levels.
• Instruction following and tool use support.
• Inference implementations using transformers, vLLM, llama.cpp, and ollama.
• Responses API is recommended for inference.
• License: Apache 2.0, with a small complementary use policy.

... (truncated)

Commits

• acf295a v4.55.2
• aaa3169 qfix bad cherry-pick
• ea2eee0 v4.55.1
• 956be23 [bugfix] Fix tensor device in Idefics2, Idefics3, and SmolVLM (#39975)
• 79a9ffc fix merge conlicts
• 99404c7 Default to dequantize if cpu in device_map for mxfp4 (#39993)
• 0d69080 [GPT Big Code] Fix attention scaling (#40041)
• b8e97fb fix: resolve triton version check compatibility on windows (#39986)
• 586b6e6 Fix missing None default values for Gemma3n model in get_placeholder_mask (#3...
• 95ae07d Fix broken image inference for Fuyu model (#39915)
• Additional commits viewable in compare view

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