examples: minor fixes in flax example readme (#13502)
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@@ -92,7 +92,7 @@ tokenizer.train_from_iterator(batch_iterator(), vocab_size=50265, min_frequency=
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])
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# Save files to disk
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tokenizer.save("./")
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tokenizer.save("./tokenizer.json")
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```
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### Create configuration
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@@ -241,7 +241,7 @@ Finally, we can run the example script to pretrain the model:
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```bash
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./run_clm_flax.py \
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--output_dir="./l" \
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--output_dir="./" \
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--model_type="gpt2" \
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--config_name="./" \
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--tokenizer_name="./" \
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