Automatic Speech Recognition
Transformers
PyTorch
Galician
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-medium-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-medium-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-medium-gl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-medium-gl") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-medium-gl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 988b04d7c8739389927da8f8f9108ef204f3f8a2b14c7f6cef11b1d1f98b68c4
- Size of remote file:
- 4.16 kB
- SHA256:
- 82a6e130e8f1fb87dad8a3e799fe7fc03d56b5aa72f3aa3476c548249b0b314f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.