Trainer - deprecate tokenizer for processing_class (#32385)
* Trainer - deprecate tokenizer for processing_class * Extend chage across Seq2Seq trainer and docs * Add tests * Update to FutureWarning and add deprecation version
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@@ -340,7 +340,7 @@ with `pixel_values`, a tensor with `pixel_mask`, and `labels`.
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[ 0.0741, 0.0741, 0.0741, ..., 0.0741, 0.0741, 0.0741],
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[ 0.0741, 0.0741, 0.0741, ..., 0.0741, 0.0741, 0.0741],
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[ 0.0741, 0.0741, 0.0741, ..., 0.0741, 0.0741, 0.0741]],
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[[ 1.6232, 1.6408, 1.6583, ..., 0.8704, 1.0105, 1.1331],
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[ 1.6408, 1.6583, 1.6758, ..., 0.8529, 0.9930, 1.0980],
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[ 1.6933, 1.6933, 1.7108, ..., 0.8179, 0.9580, 1.0630],
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@@ -348,7 +348,7 @@ with `pixel_values`, a tensor with `pixel_mask`, and `labels`.
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[ 0.2052, 0.2052, 0.2052, ..., 0.2052, 0.2052, 0.2052],
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[ 0.2052, 0.2052, 0.2052, ..., 0.2052, 0.2052, 0.2052],
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[ 0.2052, 0.2052, 0.2052, ..., 0.2052, 0.2052, 0.2052]],
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[[ 1.8905, 1.9080, 1.9428, ..., -0.1487, -0.0964, -0.0615],
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[ 1.9254, 1.9428, 1.9603, ..., -0.1661, -0.1138, -0.0790],
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[ 1.9777, 1.9777, 1.9951, ..., -0.2010, -0.1138, -0.0790],
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@@ -569,7 +569,7 @@ Finally, bring everything together, and call [`~transformers.Trainer.train`]:
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... args=training_args,
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... train_dataset=cppe5["train"],
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... eval_dataset=cppe5["validation"],
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... tokenizer=image_processor,
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... processing_class=image_processor,
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... data_collator=collate_fn,
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... compute_metrics=eval_compute_metrics_fn,
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... )
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