Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Chinese
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use guqun/whispertest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guqun/whispertest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="guqun/whispertest")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("guqun/whispertest") model = AutoModelForSpeechSeq2Seq.from_pretrained("guqun/whispertest") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 325f44088e12541173680118ba4b315db4dfcf172ec53e13b98ce15d9d254517
- Size of remote file:
- 4.09 kB
- SHA256:
- d0763120f0c7ff05534599f07d042830138e08ba648d8dd0cb8540082f540851
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