Update README.md

README.md

@@ -64,11 +64,39 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-- Best validation WER (Word Error Rate): 0.915
-- Best validation CER (Character Error Rate): 0.428
-
+### Test results
+
+- Best test WER (Word Error Rate): 0.915
+- Best test CER (Character Error Rate): 0.428
+
+### Usage
+
+```python
+import torch
+from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
+
+device = "cuda:0" if torch.cuda.is_available() else "cpu"
+torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
+
+model_id = "aictsharif/whisper-tiny-fa"
+model = AutoModelForSpeechSeq2Seq.from_pretrained(
+    model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
+)
+model.to(device)
+
+processor = AutoProcessor.from_pretrained(model_id)
+pipe = pipeline(
+    "automatic-speech-recognition",
+    model=model,
+    tokenizer=processor.tokenizer,
+    feature_extractor=processor.feature_extractor,
+    torch_dtype=torch_dtype,
+    device=device,
+)
+
+result = pipe('sample.mp3')
+print(result["text"])
+```
 
 ### Framework versions