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SWECHA GONTHUKA ASR Finetune

This model is fine-tuned from swechatelangana/swecha-gonthuka-asr on a custom Telugu speech dataset.

Sourcehuggingface.co/dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune/tree/e18d0333ae46f2d0c9c83289e605e0280db99330
KindOtherBase modelswechatelangana/swecha-gonthuka-asrVersionRevision e18d033

Model source

Kind
Other
File size
360 MB
Base model
swechatelangana/swecha-gonthuka-asr
Version
vRevision e18d033
Updated
Sep 13, 2026
Downloads
2
Source
Hugging Face

Source description

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

from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC

processor = Wav2Vec2Processor.from_pretrained(
    "dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune"
)

model = Wav2Vec2ForCTC.from_pretrained(
    "dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune"
)

Sources

1 source
Hugging FacePrimaryVersion e18d0333ae46f2d0c9c83289e605e0280db99330
huggingface.co/dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune/tree/e18d0333ae46f2d0c9c83289e605e0280db99330

Verified Sep 13

Model artifacts

1 artifact

model.safetensors

safetensors · 360 MB · SHA-256 feb3acfacf87…e77c · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 13huggingface.co/dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune

--- 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" ) ```

NoteSep 13huggingface.co/dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune

Source context: 2 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo dalavaihemanth/SWECHA_GONTHUKA_ASR_finetune