Instructions to use emre/whisper-medium-turkish-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emre/whisper-medium-turkish-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emre/whisper-medium-turkish-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("emre/whisper-medium-turkish-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("emre/whisper-medium-turkish-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73437c5e1568322079e37945ba13ee523b291ce22b156608fdcf1b31aa76987e
- Size of remote file:
- 627 Bytes
- SHA256:
- ebabd12e19f22f239482f83a56ceca9603374d549198524cc0a20fa45950474d
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