Automatic Speech Recognition
Transformers
PyTorch
Galician
whisper
ITG
PyTorch
Transformers
whisper-small
Instructions to use ITG/whisper-small-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ITG/whisper-small-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ITG/whisper-small-gl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ITG/whisper-small-gl") model = AutoModelForSpeechSeq2Seq.from_pretrained("ITG/whisper-small-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a116c1fc771e7e542e8538169f1a8646918e6c7c2a847b430b66f5f7c50242fe
- Size of remote file:
- 967 MB
- SHA256:
- b7bec13ffd5a018026614c28d1d96c453aabca86cc210ef8e0011aad0a6ee59b
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