Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use hilaltekgoz/whisper-large-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hilaltekgoz/whisper-large-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hilaltekgoz/whisper-large-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hilaltekgoz/whisper-large-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("hilaltekgoz/whisper-large-tr") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 7
Model tree for hilaltekgoz/whisper-large-tr
Base model
openai/whisper-large-v3Evaluation results
- Wer on atest set self-reported100.000