Instructions to use byoussef/whisper-tiny-minds14-en-US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byoussef/whisper-tiny-minds14-en-US with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="byoussef/whisper-tiny-minds14-en-US")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("byoussef/whisper-tiny-minds14-en-US") model = AutoModelForSpeechSeq2Seq.from_pretrained("byoussef/whisper-tiny-minds14-en-US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89757518dfe061e255a5bbe414a7ecb8f5203f004ff4356fedb4f7549c43e14b
- Size of remote file:
- 151 MB
- SHA256:
- 3f4c2bd424bab4ae1de7027f440b516bd09449165b535380eb7ea8cad7002940
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