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northtechai/northstt-stageb-300

sourceHugging Facemitupdated 11mo agoView on Hugging Face

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northtechai/northstt-stageb-300

This is a fine-tuned version of openai/whisper-large-v3 using LoRA (Low-Rank Adaptation) for Turkish speech recognition.

Model Details

—Base Model: openai/whisper-large-v3
—Fine-tuning Method: LoRA (Low-Rank Adaptation)
—Language: Turkish
—Task: Automatic Speech Recognition

Usage

python

from transformers import pipeline

# Load the model
asr = pipeline(
    "automatic-speech-recognition",
    model="northtechai/northstt-stageb-300",
    generate_kwargs={
        "condition_on_prev_tokens": True,
        "no_repeat_ngram_size": 2,
        "temperature": 0.0,
        "do_sample": False,
        "language": "tr",
    }
)

# Transcribe audio
result = asr("path/to/audio.wav")
print(result["text"])

Training Data

Training data information not provided.

Performance

This model has been fine-tuned for improved performance on Turkish speech recognition tasks.

Limitations

—Optimized for Turkish language
—Performance may vary on other languages
—Requires appropriate audio preprocessing (16kHz sample rate)

Citation

If you use this model, please cite the original Whisper paper:

bibtex

@misc{radford2022robust,
  title={Robust Speech Recognition via Large-Scale Weak Supervision},
  author={Radford, Alec and Kim, Jong Wook and Xu, Tao and Brockman, Greg and McLeavey, Christine and Sutskever, Ilya},
  year={2022},
  eprint={2212.04356},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}