fix tests running with nightly (#1205)

Author: eaidova

tests/openvino/test_exporters_cli.py

@@ -95,8 +95,8 @@ class OVCLIExportTestCase(unittest.TestCase):
         )
     EXPECTED_NUMBER_OF_TOKENIZER_MODELS = {
         "gpt2": 2 if is_tokenizers_version("<", "0.20") or is_openvino_version(">=", "2024.5") else 0,
-        "t5": 0,  # no .model file in the repository
-        "albert": 0,  # not supported yet
+        "t5": 0 if is_openvino_version("<", "2025.1") else 2,  # 2025.1 brings support for unigram tokenizers
+        "albert": 0 if is_openvino_version("<", "2025.1") else 2,  # 2025.1 brings support for unigram tokenizers
         "distilbert": 1 if is_openvino_version("<", "2025.0") else 2,  # no detokenizer before 2025.0
         "roberta": 2 if is_tokenizers_version("<", "0.20") or is_openvino_version(">=", "2024.5") else 0,
         "vit": 0,  # no tokenizer for image model

tests/openvino/test_modeling.py

@@ -149,7 +149,7 @@ def __init__(self, *args, **kwargs):
         self.OV_MODEL_ID = "echarlaix/distilbert-base-uncased-finetuned-sst-2-english-openvino"
         self.OV_DECODER_MODEL_ID = "helenai/gpt2-ov"
         self.OV_SEQ2SEQ_MODEL_ID = "echarlaix/t5-small-openvino"
-        self.OV_SD_DIFFUSION_MODEL_ID = "hf-internal-testing/tiny-stable-diffusion-openvino"
+        self.OV_SD_DIFFUSION_MODEL_ID = "katuni4ka/tiny-stable-diffusion-openvino"
         self.OV_FLUX_DIFFUSION_MODEL_ID = "katuni4ka/tiny-random-flux-ov"
         self.OV_VLM_MODEL_ID = "katuni4ka/tiny-random-llava-ov"