Instructions to use AccTech/Whisper-SST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AccTech/Whisper-SST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AccTech/Whisper-SST")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AccTech/Whisper-SST") model = AutoModelForSpeechSeq2Seq.from_pretrained("AccTech/Whisper-SST") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab24cac270ef54f5777f76e985e4043a19f5602f6aed0f545e6f019437acbaa1
- Size of remote file:
- 1.18 GB
- SHA256:
- 630ca774672856d2e0e39a702e590f635a1cfc5726a64b6578ab46dd367369a9
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