Automatic Speech Recognition
Transformers
PyTorch
English
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use fxmarty/whisper-tiny-working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/whisper-tiny-working with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fxmarty/whisper-tiny-working")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fxmarty/whisper-tiny-working") model = AutoModelForSpeechSeq2Seq.from_pretrained("fxmarty/whisper-tiny-working") - Notebooks
- Google Colab
- Kaggle
Ctrl+K