chore: import upstream snapshot with attribution

runtime/python/libtorch/demo_contextual_paraformer.py

@@ -0,0 +1,13 @@
+import torch
+from pathlib import Path
+from funasr_torch.paraformer_bin import ContextualParaformer
+
+model_dir = "iic/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404"
+device_id = 0 if torch.cuda.is_available() else -1
+model = ContextualParaformer(model_dir, batch_size=1, device_id=device_id)  # gpu
+
+wav_path = "{}/.cache/modelscope/hub/{}/example/asr_example.wav".format(Path.home(), model_dir)
+hotwords = "你的热词 魔搭"
+
+result = model(wav_path, hotwords)
+print(result)