build: update transformers requirement from <5.15,>=5.5 to >=5.5,<5.17

[dependabot]

Updates the requirements on transformers to permit the latest version.

Release notes

Sourced from transformers's releases.

Release v5.16.1

This is a special release as we include GLM! (and a few small fixes)

GLM-5.3-Flash

GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks.

GLM-5.3-Flash starts from a newly trained base model, with its architecture and training recipe redesigned around capability and efficiency. For the first time in the GLM series, we introduce a hybrid architecture combining sparse and linear attention, sharply reducing long-context serving costs while preserving precise long-context capabilities. The model also adopts Manifold-Constrained Hyper-Connections (mHC) to further improve scaling efficiency. Together with our latest 30T-token multimodal pre-training corpus, these changes enable GLM-5.3-Flash to deliver more intelligence with less compute.

Links: Documentation

• [Glm 5.3 Flash] GLM 5.3 Flash Support (#48342) by @​Dovis01 in #48342

Small patch fixes

Mainly BC behavior for TP and pinning a hf kernel for security reasons 🤗

• Restore BC for the tensor-parallel API (#48300) by @​ArthurZucker
• Fix kernel commit and repo paths for ESMFold2 (#48186) by @​Rocketknight1

Full Changelog: huggingface/transformers@v5.16.0...v5.16.1

Commits

• 93c8b7b v5.16.1
• cdaca83 [Glm 5.3 Flash] GLM 5.3 Flash Support (#48342)
• b366ad3 Fix kernel commit and repo paths for ESMFold2 (#48186)
• f2f4327 Restore BC for the tensor-parallel API (#48300)
• 93d1bcf release: v5.16.0
• 276c5c4 Add Qwen4Exp model (#48337)
• d3cdaec Fix video-llama modular conversion (#48336)
• 949e301 CI: gate the hunyuan-moe slow test (#48330)
• 5fcf605 Add a regression test for force_accelerate_hooks signature preservation (#48...
• 27e7f6c Add an opt-in per-frame pixel cap (cap_pixels_per_frame) to the Qwen3-VL vide...
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