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Pass datasets trust_remote_code (#31406)

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* Pass datasets trust_remote_code

* Pass trust_remote_code in more tests

* Add trust_remote_dataset_code arg to some tests

* Revert "Temporarily pin datasets upper version to fix CI"

This reverts commit b7672826ca.

* Pass trust_remote_code in librispeech_asr_dummy docstrings

* Revert "Pin datasets<2.20.0 for examples"

This reverts commit 833fc17a3e.

* Pass trust_remote_code to all examples

* Revert "Add trust_remote_dataset_code arg to some tests" to research_projects

* Pass trust_remote_code to tests

* Pass trust_remote_code to docstrings

* Fix flax examples tests requirements

* Pass trust_remote_dataset_code arg to tests

* Replace trust_remote_dataset_code with trust_remote_code in one example

* Fix duplicate trust_remote_code

* Replace args.trust_remote_dataset_code with args.trust_remote_code

* Replace trust_remote_dataset_code with trust_remote_code in parser

* Replace trust_remote_dataset_code with trust_remote_code in dataclasses

* Replace trust_remote_dataset_code with trust_remote_code arg
This commit is contained in:
Albert Villanova del Moral
2024-06-17 18:29:13 +02:00
committed by GitHub
parent 485fd81471
commit a14b055b65
168 changed files with 804 additions and 410 deletions
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4
tests/models/vision_encoder_decoder/test_modeling_vision_encoder_decoder.py
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@@ -815,7 +815,7 @@ class TrOCRModelIntegrationTest(unittest.TestCase):
def test_inference_handwritten(self):
model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten").to(torch_device)
dataset = load_dataset("hf-internal-testing/fixtures_ocr", split="test")
dataset = load_dataset("hf-internal-testing/fixtures_ocr", split="test", trust_remote_code=True)
image = Image.open(dataset[0]["file"]).convert("RGB")
processor = self.default_processor
@@ -840,7 +840,7 @@ class TrOCRModelIntegrationTest(unittest.TestCase):
def test_inference_printed(self):
model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-printed").to(torch_device)
dataset = load_dataset("hf-internal-testing/fixtures_ocr", split="test")
dataset = load_dataset("hf-internal-testing/fixtures_ocr", split="test", trust_remote_code=True)
image = Image.open(dataset[1]["file"]).convert("RGB")
processor = self.default_processor