Instructions to use lukespeech/whisper-tiny-fo-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukespeech/whisper-tiny-fo-temp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lukespeech/whisper-tiny-fo-temp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lukespeech/whisper-tiny-fo-temp") model = AutoModelForSpeechSeq2Seq.from_pretrained("lukespeech/whisper-tiny-fo-temp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe845e1ef3def45544a02c485681693cb65bd12ae21f99e1fc83de923af85156
- Size of remote file:
- 4.66 kB
- SHA256:
- 162863e5d717e931c1ed1853093a6f9fd7f0bcac8dee8379324abd66b084eba5
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