Fix release full (#45029)

* first part of the fix

* fix torch imports

* revert

* fix: make from transformers import * work without torch

- `is_torchvision_available`, `is_timm_available`, `is_torchaudio_available`,
  `is_torchao_available`, `is_accelerate_available` now return False when
  torch is not installed, since all these packages require torch
- Add `@requires(backends=("torch",))` to `PI0Processor` (was missing,
  causing the lazy module to crash on import without torch)
- Fix wrong availability guards: `is_vision_available` → `is_torchvision_available`
  in pixtral processor, `is_torch_available` in smolvlm processor
- Wrap bare `import torch` / torchvision imports in `processing_sam3_video.py`
- Quote `torch.Tensor` in return type annotation of `tokenization_mistral_common.py`
- Wrap 66 `image_processing_pil_*.py` imports from torch-dependent counterparts
  in try/except with ImagesKwargs fallbacks; quote `torch.Tensor` annotations
- Restore explicit `from transformers import *` check in CircleCI
  `check_repository_consistency` job

Co-Authored-By: Claude Sonnet 4.6 (1M context) <[email protected]>

* up

* style of this

* revert: remove src/models changes, keep only core import fixes

The PIL image processor changes are too fragile (break on make fix-repo).
Keep only the core fixes:
- is_torchvision/timm/torchaudio/torchao/accelerate_available() check torch
- CircleCI explicit import check
- tokenization_mistral_common.py torch.Tensor annotation
- processing_sam3_video.py conditional torch imports
- processing_pixtral.py/processing_smolvlm.py availability guard fixes
- PI0Processor @requires decorator

Co-Authored-By: Claude Sonnet 4.6 (1M context) <[email protected]>

* nit

* the mega quidproquo

* use rquires(backend

* more pil fixes

* fixes

* temp update

* up?

* is this it?

* style?

* revert a bunch of ai shit

* pi0 requires this

* revert some stuffs

* upd

* the fix

* yups

* ah

* up

* up

* fix

* yes?

* update

* up

* nits

* up

* up

* order

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Co-authored-by: Claude Sonnet 4.6 (1M context) <[email protected]>