Update README.md

README.md

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 ---
 license: mit
+language:
+- en
+library_name: adapter-transformers
+pipeline_tag: audio-classification
+tags:
+- code
+- audio
+- clap detection
+- machine learning
 ---
+
+# Model Card for Clap Detection Model
+
+## Model Details
+
+### Model Description
+
+This model is a deep learning-based audio classifier trained to detect claps in audio recordings. It has been developed using the PyTorch framework and utilizes the adapter-transformers library. The model can differentiate between clap sounds and background noise.
+
+### Uses
+
+#### Direct Use
+
+The model can be directly used to detect claps in audio recordings.
+
+### Bias, Risks, and Limitations
+
+The model may have limitations in accurately detecting claps in noisy environments or when there are overlapping sounds. It is recommended to evaluate the model's performance in various real-world scenarios.
+
+## How to Get Started with the Model
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+The model was trained on a dataset consisting of audio recordings containing both clap sounds and background noise.
+
+### Evaluation
+
+[More Information Needed]
+
+## Environmental Impact
+
+Carbon emissions and additional considerations have not been evaluated for this model.
+
+## Technical Specifications
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+## Citation
+
+[More Information Needed]
+
+## Model Card Authors
+
+[Your Name or Username]
+
+## Model Card Contact
+
+[Your Contact Information]