Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Vietnamese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use joey234/whisper-small-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joey234/whisper-small-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joey234/whisper-small-vi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("joey234/whisper-small-vi") model = AutoModelForSpeechSeq2Seq.from_pretrained("joey234/whisper-small-vi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f006aa4a57024b66b8f6885886c56e956dce1c21fc30f491c1076304c1f4be8b
- Size of remote file:
- 3.52 kB
- SHA256:
- 53381761501a6a8ff5e0c5d647569fe1236990ae396436a865ffcc910678008e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.