Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Vietnamese
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use hts98/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hts98/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hts98/test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hts98/test") model = AutoModelForSpeechSeq2Seq.from_pretrained("hts98/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbe2d109d1048592e19764f4a67e5039b6f4ce15ac0e6033ae78165e2647c314
- Size of remote file:
- 151 MB
- SHA256:
- 7c25a518ef58d420496b3275991a2b2ccc1b9a3706bbead35b02910dc5440376
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