Update README.md

README.md

@@ -101,11 +101,36 @@ The following hyperparameters were used during training:
 
 ### Inference Without Decoder
 
+```python
+import torch
+from datasets import load_dataset
+from transformers import AutoModelForCTC, AutoProcessor
+import torchaudio.functional as F
+
+
+model_id = "patrickvonplaten/wav2vec2-large-xlsr-53-spanish-with-lm"
+
+sample = next(iter(load_dataset("common_voice", "es", split="test", streaming=True)))
+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
+
+-prediction_ids = torch.argmax(logits, dim=-1)
+-transcription = processor.batch_decode(prediction_ids)
++transcription = processor.batch_decode(logits.numpy()).text
+```
+
 
 ### Inference With Decoder
 
 
-### Eval results (run `./eval.py`) on Common Voice 7 "test":
+### Eval results on Common Voice 7 "test":
 
-**Without LM**: 27.28 WER
-**With LM**:
+**Without LM**: 27.30 WER
+**With LM (run `./eval.py`)**: