Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Chinese
whisper
Generated from Trainer
Instructions to use thisiskeithkwan/whisper-medium-1000steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thisiskeithkwan/whisper-medium-1000steps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thisiskeithkwan/whisper-medium-1000steps")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thisiskeithkwan/whisper-medium-1000steps") model = AutoModelForSpeechSeq2Seq.from_pretrained("thisiskeithkwan/whisper-medium-1000steps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d52e61154edf1de868673a587ec22606145d65e473eedbae6feaefcf18e4c99f
- Size of remote file:
- 4.16 kB
- SHA256:
- 506f287244ad66f4d3e248a4a9abb9270534ec3a92e1d414f752e0d41fca2b4c
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