fix

.github/workflows/self-scheduled-caller.yml

@@ -7,17 +7,9 @@ on:
     - cron: "17 2 * * *"
   push:
     branches:
-      - run_scheduled_ci*
+      - check_fix_torch_pip
 
 jobs:
-  model-ci:
-    name: Model CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_tests_gpu
-      slack_report_channel: "#transformers-ci-daily-models"
-    secrets: inherit
-
   torch-pipeline:
     name: Torch pipeline CI
     uses: ./.github/workflows/self-scheduled.yml
@@ -25,35 +17,3 @@ jobs:
       job: run_pipelines_torch_gpu
       slack_report_channel: "#transformers-ci-daily-pipeline-torch"
     secrets: inherit
-
-  tf-pipeline:
-    name: TF pipeline CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_pipelines_tf_gpu
-      slack_report_channel: "#transformers-ci-daily-pipeline-tf"
-    secrets: inherit
-
-  example-ci:
-    name: Example CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_examples_gpu
-      slack_report_channel: "#transformers-ci-daily-examples"
-    secrets: inherit
-
-  deepspeed-ci:
-    name: DeepSpeed CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_all_tests_torch_cuda_extensions_gpu
-      slack_report_channel: "#transformers-ci-daily-deepspeed"
-    secrets: inherit
-
-  quantization-ci:
-    name: Quantization CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_tests_quantization_torch_gpu
-      slack_report_channel: "#transformers-ci-daily-quantization"
-    secrets: inherit

tests/pipelines/test_pipelines_zero_shot_audio_classification.py

@@ -32,7 +32,7 @@ class ZeroShotAudioClassificationPipelineTests(unittest.TestCase):
         audio_classifier = pipeline(
             task="zero-shot-audio-classification", model="hf-internal-testing/tiny-clap-htsat-unfused"
         )
-        dataset = load_dataset("ashraq/esc50")
+        dataset = load_dataset("hf-internal-testing/ashraq-esc50-1-dog-example")
         audio = dataset["train"]["audio"][-1]["array"]
         output = audio_classifier(audio, candidate_labels=["Sound of a dog", "Sound of vaccum cleaner"])
         self.assertEqual(
@@ -52,7 +52,7 @@ class ZeroShotAudioClassificationPipelineTests(unittest.TestCase):
             model="laion/clap-htsat-unfused",
         )
         # This is an audio of a dog
-        dataset = load_dataset("ashraq/esc50")
+        dataset = load_dataset("hf-internal-testing/ashraq-esc50-1-dog-example")
         audio = dataset["train"]["audio"][-1]["array"]
         output = audio_classifier(audio, candidate_labels=["Sound of a dog", "Sound of vaccum cleaner"])