Add an integration test for LASR using pipe and chunked decoding (#42823)
* Add an integration test for LASR using pipe and chunked decoding
* Revise goldens in LasrForCTCIntegrationTest.test_model_integration_batched
* Enable LasrForCTCIntegrationTest
* add require_torch_accelerator
* Use a publicly accessible test model for LASR and update integration test goldens
* Correct the tokenizer mapping for LASR models
Because of the out of date tokenizer mapping, AutoTokenizer started returning TokenizersBackend instead LasrTokenizer after https://github.com/huggingface/transformers/pull/42894, which caused https://github.com/Google-Health/medasr/issues/12.
* Remove require_read_token since we now use a publicly assessible test checkpoint
* update values for runners
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Co-authored-by: eustlb <94853470+eustlb@users.noreply.github.com>
Co-authored-by: Eustache Le Bihan <eulebihan@gmail.com>