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This model is fine-tuned from swechatelangana/swecha-gonthuka-asr on a custom Telugu speech dataset.
Model source
Source description
This model is fine-tuned from swechatelangana/swecha-gonthuka-asr on a custom Telugu speech dataset.
swechatelangana/swecha-gonthuka-asr
Sources
1 sourceVerified Sep 13
Model artifacts
1 artifactSource excerpts
2 excerpts--- language: - te license: apache-2.0 library_name: transformers pipeline_tag: automatic-speech-recognition tags: - wav2vec2 - automatic-speech-recognition - telugu - speech - asr base_model: swechatelangana/swecha-gonthuka-asr --- # SWECHA GONTHUKA ASR Fine-tuned This model is fine-tuned from **swechatelangana/swecha-gonthuka-asr** on a custom Telugu speech dataset. ## Dataset - 4911 Telugu audio recordings - 16 kHz WAV files - Multiple speakers ## Base Model swechatelangana/swecha-gonthuka-asr ## Training - Framework: Hugging Face Transformers - Model: Wav2Vec2ForCTC ## Usage ```python from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC processor = Wav2Vec2Processor.from_pretrained( "dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune" ) model = Wav2Vec2ForCTC.from_pretrained( "dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune" ) ```
from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC
processor = Wav2Vec2Processor.from_pretrained(
"dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune"
)
model = Wav2Vec2ForCTC.from_pretrained(
"dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune"
)
Source context: 2 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune