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Update old existing feature extractor references (#24552)

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* Update old existing feature extractor references

* Typo

* Apply suggestions from code review

* Apply suggestions from code review

* Apply suggestions from code review

* Address comments from review - update 'feature extractor'
Co-authored by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
This commit is contained in:
amyeroberts
2023-06-29 10:17:36 +01:00
committed by GitHub
parent 10c2ac7bc6
commit ae454f41d4
138 changed files with 762 additions and 743 deletions
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6
tests/models/table_transformer/test_modeling_table_transformer.py
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@@ -39,7 +39,7 @@ if is_timm_available():
if is_vision_available():
from PIL import Image
from transformers import AutoFeatureExtractor
from transformers import AutoImageProcessor
class TableTransformerModelTester:
@@ -501,13 +501,13 @@ def prepare_img():
@slow
class TableTransformerModelIntegrationTests(unittest.TestCase):
def test_table_detection(self):
feature_extractor = AutoFeatureExtractor.from_pretrained("microsoft/table-transformer-detection")
image_processor = AutoImageProcessor.from_pretrained("microsoft/table-transformer-detection")
model = TableTransformerForObjectDetection.from_pretrained("microsoft/table-transformer-detection")
model.to(torch_device)
file_path = hf_hub_download(repo_id="nielsr/example-pdf", repo_type="dataset", filename="example_pdf.png")
image = Image.open(file_path).convert("RGB")
inputs = feature_extractor(image, return_tensors="pt").to(torch_device)
inputs = image_processor(image, return_tensors="pt").to(torch_device)
# forward pass
with torch.no_grad():