Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Vietnamese
whisper
Generated from Trainer
Instructions to use QuanHcmus/whisper-base-datavie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuanHcmus/whisper-base-datavie with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="QuanHcmus/whisper-base-datavie")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("QuanHcmus/whisper-base-datavie") model = AutoModelForSpeechSeq2Seq.from_pretrained("QuanHcmus/whisper-base-datavie", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a41a6f91a0f5f02a12975c2086d013c15c73057252b8cbfdaa11587e73e655b1
- Size of remote file:
- 5.3 kB
- SHA256:
- 6a9bd6c0b86d4d5edc81c1738eccab8aa30d43b7b03295e022cdb7b53eef46a0
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