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Part1
P
Part1
Developed by zasheza
This model is a fine-tuned speech processing model based on facebook/wav2vec2-base, with no specific use case explicitly stated
Downloads 28
Release Time : 4/30/2022
Model Overview
A fine-tuned model based on the wav2vec2-base architecture, potentially used for speech recognition or related tasks. Specific functionality requires further confirmation
Model Features
Efficient fine-tuning
Fine-tuned based on the mature wav2vec2-base architecture, likely retaining the original model's efficient speech feature extraction capabilities
Optimized training configuration
Utilizes reasonable hyperparameter settings, including a learning rate of 0.0001 and a linear learning rate scheduler
Model Capabilities
Speech feature extraction
Speech processing
Use Cases
Speech processing
Speech recognition
Potentially applicable for speech-to-text conversion tasks
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