chore(deps): update transformers requirement from >=5.13.1 to >=5.14.0 in /autobot-infrastructure/autobot-npu-worker/docker in the all-dependencies group across 1 directory

[dependabot]

Updates the requirements on transformers to permit the latest version.
Updates transformers to 5.14.0

Release notes

Sourced from transformers's releases.

Release v5.14.0

New Model additions

Inkling (fresh from Thinking Machines): 975B total, 41B active

• Add Inkling model #47347 by @​molbap @​Cyrilvallez @​eustlb and @​zucchini-nlp

Inkling is a general-purpose multimodal model that accepts text, image and audio inputs and generates text outputs. It is intended for use in English and other languages, and across multiple coding languages. The model is designed to be used by developers building AI- powered applications, including agentic and tool-use systems, coding assistants, chatbots, and retrieval-augmented generation systems, and is suitable for general-purpose conversational use, instruction-following, and other natural language and multimodal tasks. It is released with open weights to support research, fine-tuning and integration into third-party products by downstream developers.

TIPSv2

Links: Documentation

• Add TIPSv2 (#46347) by @​Ternura143 in #46347

TIPSv2 DPT

Links: Documentation

• Add TIPSv2 (#46347) by @​Ternura143 in #46347

🚨 Breaking changes

GPTNeoX now remaps embed_out to lm_head and GPTBigCode has _supports_attention_backend = True enabled for vLLM compatibility; users relying on the previous weight naming or attention backend behavior for these models should update their code accordingly.

• 🚨 Fix GPTBigCode and GPTNeoX for the Transformers modelling backend for vLLM (#47198) by @​hmellor

Kernels

Several kernel-related fixes and improvements were made, including pinning the kernels dependency to a compatible version in the benchmark workflow, removing a deprecated package_name argument from LocalLayerRepository, and making the DeepGEMM Triton fallback more robust when CUDA_HOME is unset or misconfigured. Additionally, SDPA prefill was updated to leverage the FlashAttention kernel with StaticCache, yielding significant performance gains (up to 260% faster for large input sizes).

• Pin kernels to compatible version in benchmark workflow (#47339) by @​tarekziade in #47339
• [Fix] Remove deprecated argument from kernels call (#47100) by @​remi-or in #47100

... (truncated)

Commits

• 2fa8c19 v5.14.0
• 6c9318e fix feature extraction
• 8f23330 Small improvement (#47348)
• 76613e6 Add Inkling model (#47347)
• f5a67a4 🚨 Pass tp_plan from lm_heads (#47253)
• cd7456e ci: cover xet as well (runtime error) (#47338)
• 9045795 [docs] TokenizersBackend fallback (#47302)
• e52d0fd Pin kernels to compatible version in benchmark workflow (#47339)
• e194978 Fix models for which we don't have a dedicated tokenizer class, and the liste...
• 498d6e9 Resolve continuous batching XPU availability checks at runtime (#47185)
• Additional commits viewable in compare view

[github-actions]

✅ SSOT Configuration Compliance: Passing

🎉 No hardcoded values detected that have SSOT config equivalents!

[mrveiss]

@dependabot rebase