Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ruisp/whisper-tiny-ft-polyai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruisp/whisper-tiny-ft-polyai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ruisp/whisper-tiny-ft-polyai")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ruisp/whisper-tiny-ft-polyai") model = AutoModelForSpeechSeq2Seq.from_pretrained("ruisp/whisper-tiny-ft-polyai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
f0d86ba | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7b85014998a2523bedeb61787308c3fa23aaab284ca466ec274c9c4b74c19c71
size 4155
|