Instructions to use Teimuri/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teimuri/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Teimuri/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Teimuri/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("Teimuri/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("Teimuri/whisper-tiny")
model = AutoModelForSpeechSeq2Seq.from_pretrained("Teimuri/whisper-tiny")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Teimuri/whisper-tiny")