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:
- 72e41ee99aaa6c0f8e1bac7b6907d61bae682e8cb9869b2e8795960c4f5b3738
- Size of remote file:
- 3.57 kB
- SHA256:
- d636a00980b0fc95924241661fdd18c3580e578f43c574de0b8ebf7d28afc2bc
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