Automatic Speech Recognition
Transformers
PyTorch
Galician
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-large-v2-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-large-v2-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-large-v2-gl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-large-v2-gl") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-large-v2-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91bf56474cc77e8742799eec0f4a49577de308685c96738fe1b7d7f67d029071
- Size of remote file:
- 6.17 GB
- SHA256:
- 81c181bb3b791aaadde14b5d2772e06657f2fb23616e9aa180f30bbf197ef1b6
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