add test.py

test.py

@@ -0,0 +1,8 @@
+from transformers import pipeline
+
+classifier = pipeline(model="superb/wav2vec2-base-superb-ks")
+res = classifier("~/Downloads/1.flac")
+#res = classifier("https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/1.flac")
+
+print(str(res))
+#[{'score': 0.997, 'label': '_unknown_'}, {'score': 0.002, 'label': 'left'}, {'score': 0.0, 'label': 'yes'}, {'score': 0.0, 'label': 'down'}, {'score': 0.0, 'label': 'stop'}]