Install the tensorflow example requirements in docker (#31428)

.circleci/create_circleci_config.py

@@ -155,15 +155,15 @@ def to_dict(self):
                     elif self.name in ["flax","torch","tf"]:
                         name = self.name if self.name != "torch" else ""
                         if self.name == "torch":
-                            all_tests = glob.glob(f"tests/models/**/test_modeling_{name}*.py", recursive=True) 
+                            all_tests = glob.glob(f"tests/models/**/test_modeling_{name}*.py", recursive=True)
                             filtered = [k for k in all_tests if ("_tf_") not in k and "_flax_" not in k]
                             expanded_tests.extend(filtered)
                         else:
                             expanded_tests.extend(glob.glob(f"tests/models/**/test_modeling_{name}*.py", recursive=True))
                     else:
                         expanded_tests.extend(glob.glob("tests/models/**/test_modeling*.py", recursive=True))
                 elif test == "tests/pipelines":
-                    expanded_tests.extend(glob.glob("tests/models/**/test_modeling*.py", recursive=True)) 
+                    expanded_tests.extend(glob.glob("tests/models/**/test_modeling*.py", recursive=True))
                 else:
                     expanded_tests.append(test)
             tests = " ".join(expanded_tests)
@@ -326,7 +326,7 @@ def job_name(self):
     "examples_tensorflow",
     cache_name="tensorflow_examples",
     docker_image=[{"image":"huggingface/transformers-examples-tf"}],
-    install_steps=["uv venv && uv pip install ."],
+    install_steps=["uv venv && uv pip install . && uv pip install -r examples/tensorflow/_tests_requirements.txt"],
     parallelism=8
 )