Instructions to use goran/whisper-tiny.mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goran/whisper-tiny.mk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="goran/whisper-tiny.mk")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("goran/whisper-tiny.mk") model = AutoModelForSpeechSeq2Seq.from_pretrained("goran/whisper-tiny.mk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a21b50f495a882c8646ee88382bd0a7ee3e0d0930583adf150187dd9e7732999
- Size of remote file:
- 4.6 kB
- SHA256:
- 4623b8acc45a69f529c46c1a6c60b9b866da8f462c623c87b8d8bc7ffc9bbde1
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