add qwen2.5vl

[ShuaiBai623]

What does this PR do?

Fixes # (issue)

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[minostauros]

Brought changes from #35466
Thanks for the new model!

[minostauros]

Suggested change

	input_ids: torch.LongTensor,
	input_ids: Optional[torch.LongTensor] = None,

[minostauros]

Suggested change

	position_ids = position_ids.unsqueeze(0).expand(3, -1, -1).to(input_ids.device)
	position_ids = position_ids.unsqueeze(0).expand(3, -1, -1).to(attention_mask.device)

[minostauros]

Suggested change

	if position_ids is None and input_ids is not None and (attention_mask is None or attention_mask.ndim == 2):
	if position_ids is None and (attention_mask is None or attention_mask.ndim == 2):

[molbap]

Hey @ShuaiBai623 , thanks for the addition! 🎉 before reviewing, the main thing here is that since Qwen2.5VL is very similar to Qwen2VL, it's best to use modular transformers, that is, building a shorter modular_qwen_2_5_vl.py file and calling python utils/modular_model_converter.py --files_to_parse src/transformers/models/qwen_2_5_vl/modular_qwen_2_5_vl.py that will automatically generate the modeling, configuration and processing file, based on the inheriting modules. See #34157 for instance, or https://github.com/huggingface/transformers/blob/main/src/transformers/models/llava_next_video/modular_llava_next_video.py for recent examples!