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enginex-mlu370-any2any/transformers/tests/models/parakeet/test_processing_parakeet.py
2025-10-09 16:47:16 +08:00

50 lines
1.7 KiB
Python

# 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)