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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/dit/test_modeling_dit.py
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@@ -25,7 +25,7 @@ if is_torch_available():
from transformers import AutoModelForImageClassification
if is_vision_available():
from transformers import AutoFeatureExtractor
from transformers import AutoImageProcessor
@require_torch
@@ -33,7 +33,7 @@ if is_vision_available():
class DiTIntegrationTest(unittest.TestCase):
@slow
def test_for_image_classification(self):
feature_extractor = AutoFeatureExtractor.from_pretrained("microsoft/dit-base-finetuned-rvlcdip")
image_processor = AutoImageProcessor.from_pretrained("microsoft/dit-base-finetuned-rvlcdip")
model = AutoModelForImageClassification.from_pretrained("microsoft/dit-base-finetuned-rvlcdip")
model.to(torch_device)
@@ -43,7 +43,7 @@ class DiTIntegrationTest(unittest.TestCase):
image = dataset["train"][0]["image"].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():