Instructions to use sanjitaa/small-whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanjitaa/small-whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sanjitaa/small-whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sanjitaa/small-whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("sanjitaa/small-whisper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
bb8eddf | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2b877244e4d01191cc4173e9a66d3bbcc25de3886d60a6dc503b279e978ff343
size 967489808
|