device = torch.device("cuda" if torch.cuda.is_available() else "cpu") model = models.resnet50(pretrained=True).to(device) model.eval() # Remove the classification head; we keep the 2048‑dim penultimate layer feature_extractor = torch.nn.Sequential(*list(model.children())[:-1])
"index": 1, "codec_name": "aac", "codec_type": "audio", "bit_rate": "64000" ABG kakek ML ama cucu sendiri. kakek 01.3gp
ffmpeg -i "ABG kakek ML ama cucu sendiri. kakek 01.3gp" -vn -acodec pcm_s16le -ar 16000 -ac 1 audio.wav device = torch