Update README.md

README.md

@@ -79,25 +79,3 @@ 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", "ur", 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
-```