Transformers 发布: Release v5.14.0

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# 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](https://huggingface.co/docs/transformers/main/en/model_doc/tipsv2) * Add TIPSv2 (#46347) by @Ternura143 in [#46347](https://github.com/huggingface/transformers/pull/46347) ### TIPSv2 DPT **Links:** [Documentation](https://huggingface.co/docs/transformers/main/en/model_doc/tipsv2_dpt) * Add TIPSv2 (#46347) by @Ternura143 in [#46347](https://github.com/huggingface/transformers/pull/46347) ## :rotating_light: 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. * :rotating_light: 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` dependen