Update README.md

README.md

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+---
+language: en
+tags:
+  - audio
+  - speech-recognition
+  - wav2vec2
+  - tokenizer
+license: apache-2.0
+---
 
 # my-wav2vec2-processor
 
 This is a Wav2Vec2 processor (tokenizer + feature extractor) for speech recognition.
 
-- Base model: facebook/wav2vec2-base-960h
-- Uploaded by: Utkarshg02
-- Intended use: preprocessing audio data for ASR
+- **Base model**: facebook/wav2vec2-base-960h  
+- **Uploaded by**: Utkarshg02  
+- **Intended use**: Preprocessing audio data for Automatic Speech Recognition (ASR) tasks.
+
+## How to Use
+
+```python
+from transformers import Wav2Vec2Processor
+
+processor = Wav2Vec2Processor.from_pretrained("Utkarshg02/my-wav2vec2-processor")
+
+# Example: Processing an audio array
+inputs = processor(audio_array, sampling_rate=16000, return_tensors="pt")
+
+
+## Limitations and Biases
+- Only provides preprocessing (feature extraction + tokenization).  
+- Base model is trained on English; may not work well on other languages or accents.
+
+## License
+
+This processor follows the same license as the base model: Apache 2.0.
+
+## References
+
+- [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h)  
+- [Wav2Vec2 Paper](https://arxiv.org/abs/2006.11477)