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examples/research_projects/wav2vec2/FINE_TUNE_XLSR_WAV2VEC2.md
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@ -401,7 +401,7 @@ def evaluate(batch):
with torch.no_grad():
logits = model(inputs.input_values.to("cuda"), attention_mask=inputs.attention_mask.to("cuda")).logits
pred_ids = torch.argmax(logits, dim=-1)
pred_ids = torch.argmax(logits, dim=-1)
batch["pred_strings"] = processor.batch_decode(pred_ids)
return batch