Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Vietnamese
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use ZHProject23/whisper-small-audiobook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZHProject23/whisper-small-audiobook with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ZHProject23/whisper-small-audiobook")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ZHProject23/whisper-small-audiobook") model = AutoModelForSpeechSeq2Seq.from_pretrained("ZHProject23/whisper-small-audiobook", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
f1bfeca -
Model save
b914afb -
Training in progress, step 78
849121b -
Training in progress, step 74
8928527 -
Training in progress, step 70
9a1eebf -
Training in progress, step 66
2892b7b -
Training in progress, step 62
742b989 -
Training in progress, step 54
e2d829d -
Training in progress, step 46
0b65919 -
Training in progress, step 42
768848c -
Training in progress, step 32
107274a
-
Training in progress, step 8
ba11324 -
Training in progress, step 4
2633f73 -
initial commit
fcb3e30