Instructions to use KemalHal/whisper-base-bosnian-google with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KemalHal/whisper-base-bosnian-google with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KemalHal/whisper-base-bosnian-google")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("KemalHal/whisper-base-bosnian-google") model = AutoModelForSpeechSeq2Seq.from_pretrained("KemalHal/whisper-base-bosnian-google", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac6036c52fb96e8c03e3c02ae6570da36b6bcd76dd97a3afe020f9a64a373163
- Size of remote file:
- 290 MB
- SHA256:
- 2a2a0cbdd6836e14795c5bc2817a636751f5a6eb9628f8cb714a5e7244d5bdbb
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