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")# pip install -U transformers accelerate # 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
File size: 129 Bytes
e66e247 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:162863e5d717e931c1ed1853093a6f9fd7f0bcac8dee8379324abd66b084eba5
size 4664
|