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:
- 804d6ab4d124e8716a5420453d702334a21f2c7b6a6dc57c7cc4b4fbd6c6d5f2
- Size of remote file:
- 3.58 kB
- SHA256:
- 33521aff9a09baa8f47530e698fe5a47a82985e64c96c02d3bc13fdd44fedfce
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