Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Galician
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use geninhu/whisper-medium-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geninhu/whisper-medium-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="geninhu/whisper-medium-gl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("geninhu/whisper-medium-gl") model = AutoModelForSpeechSeq2Seq.from_pretrained("geninhu/whisper-medium-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe6f042fede3231e44ecf40257ac98c050f8cf7711421c4f4f8a237bdaefbe90
- Size of remote file:
- 3.58 kB
- SHA256:
- 57671db56f8c5674870f654c1e47372be422c123ba9784dbd5a7c4af5deb9b7e
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