transformers

be10d4df - Granite speech - minor fixes to support training with the HF trainer (#38833)

Granite speech - minor fixes to support training with the HF trainer (#38833) * ensure the query is updated during training avoid unused parameters that DDP does not like * avoid a crash when `kwargs` contain `padding=True` trainers often pass this argument automatically * minor * Remove mel_spec lazy init, and rename to mel_filters. this ensures save_pretrained will not crash when saving the processor during training https://github.com/huggingface/transformers/blob/d5d007a1a0f0c11a726a54c8f00bd71825f84d02/src/transformers/feature_extraction_utils.py#L595 * minor - most feature extractors has a `sampling_rate` property