Instructions to use basilkr/whisper_st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basilkr/whisper_st with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="basilkr/whisper_st")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("basilkr/whisper_st") model = AutoModelForSpeechSeq2Seq.from_pretrained("basilkr/whisper_st") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
aff3263 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d5f45693f581d2fa3c7cf53d048fa2d992f41ef81ee6ad4ea5e7ebec8848142d
size 1934147269
|