Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Mehtap/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mehtap/whisper-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mehtap/whisper-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mehtap/whisper-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mehtap/whisper-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 300
Browse files
pytorch_model.bin
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runs/Jan26_12-21-56_nebula/events.out.tfevents.1674735724.nebula
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