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:
- 2b76e471a7565aaaf8bcfe4362567f42f08ad1c053de401e9566c2b83db32979
- Size of remote file:
- 3.06 GB
- SHA256:
- 3abcd23587526e5e029a7ef2416b40b7e88bfefba60f8b24653b609e46e5dc1e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.