Update README.md

README.md

@@ -71,6 +71,19 @@ anotherawesomeday = "facebook/wav2vec2-base"
 processor = Wav2Vec2Processor.from_pretrained(anotherawesomeday)
 model = AutoModelForSeq2SeqLM.from_pretrained(anotherawesomeday)
 
+# Load model and tokenizer
+model_name = "anotherawesomeday"
+model = AutoModelForSeq2SeqLM.from_pretrained(anotherawesomeday)
+tokenizer = AutoTokenizer.from_pretrained(anotherawesomeday)
+
+# Example: Generate text from input
+input_text = "Hello, how are you?"
+input_ids = tokenizer(input_text, return_tensors="pt").input_ids
+output_ids = model.generate(input_ids)
+generated_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+
+print(generated_text)
+
 # Load a dataset (example with PolyAI/minds14)
 dataset = load_dataset("PolyAI/minds14", "en-US", split="train")
 
@@ -112,4 +125,6 @@ def evaluate_text_generation(model, dataset):
 def evaluate_audio_generation(model, dataset):
     # Calculate CER using jiwer or other audio evaluation tools
     # ...
-    return cer_score
+    return cer_score
+
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer