Update README.md

README.md

@@ -78,4 +78,24 @@ python eval.py --model_id Maniac/wav2vec2-xls-r-urdu --dataset mozilla-foundatio
 
 ```bash
 python eval.py --model_id Maniac/wav2vec2-xls-r-urdu --dataset speech-recognition-community-v2/dev_data --config ur --split validation --chunk_length_s 5.0 --stride_length_s 1.0
-```
+```
+
+### Inference With LM
+
+```python
+import torch
+from datasets import load_dataset
+from transformers import AutoModelForCTC, AutoProcessor
+import torchaudio.functional as F
+model_id = "Maniac/wav2vec2-xls-r-urdu"
+sample_iter = iter(load_dataset("mozilla-foundation/common_voice_7_0", "sv-SE", split="test", streaming=True, use_auth_token=True))
+sample = next(sample_iter)
+resampled_audio = F.resample(torch.tensor(sample["audio"]["array"]), 48_000, 16_000).numpy()
+model = AutoModelForCTC.from_pretrained(model_id)
+processor = AutoProcessor.from_pretrained(model_id)
+input_values = processor(resampled_audio, return_tensors="pt").input_values
+with torch.no_grad():
+    logits = model(input_values).logits
+transcription = processor.batch_decode(logits.numpy()).text
+# => "jag lämnade grovjobbet åt honom"
+```