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README.md

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+---
+language: tr
+license: mit
+base_model: openai/whisper-large-v3
+tags:
+- automatic-speech-recognition
+- whisper
+- finetuned
+- lora
+- turkish
+---
+
+# 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}
+}
+```