Automatic Speech Recognition
Transformers
PyTorch
Yue Chinese
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use WayneLinn/Lab2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WayneLinn/Lab2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="WayneLinn/Lab2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("WayneLinn/Lab2") model = AutoModelForSpeechSeq2Seq.from_pretrained("WayneLinn/Lab2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09e86954df6d828c839a4ecd993b4404b4c1892610f503e61d6b89bfb525fa0f
- Size of remote file:
- 967 MB
- SHA256:
- 118ffde1cd79c247c40cb0cfde7a8acc0444c774273deb5ab6284b82dcb8d606
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