init

transformers/tests/models/parakeet/test_processing_parakeet.py

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+# Copyright 2025 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import shutil
+import tempfile
+import unittest
+
+from transformers import AutoProcessor, ParakeetProcessor
+from transformers.testing_utils import require_torch, require_torchaudio
+
+from ...test_processing_common import ProcessorTesterMixin
+
+
+@require_torch
+@require_torchaudio
+class ParakeetProcessorTest(ProcessorTesterMixin, unittest.TestCase):
+    processor_class = ParakeetProcessor
+    text_input_name = "labels"
+
+    @classmethod
+    def setUpClass(cls):
+        cls.tmpdirname = tempfile.mkdtemp()
+        cls.checkpoint = "nvidia/parakeet-ctc-1.1b"
+        processor = ParakeetProcessor.from_pretrained(cls.checkpoint)
+        processor.save_pretrained(cls.tmpdirname)
+
+    def get_tokenizer(self, **kwargs):
+        return AutoProcessor.from_pretrained(self.tmpdirname, **kwargs).tokenizer
+
+    def get_feature_extractor(self, **kwargs):
+        return AutoProcessor.from_pretrained(self.tmpdirname, **kwargs).feature_extractor
+
+    def get_processor(self, **kwargs):
+        return AutoProcessor.from_pretrained(self.tmpdirname, **kwargs)
+
+    @classmethod
+    def tearDownClass(cls):
+        shutil.rmtree(cls.tmpdirname, ignore_errors=True)