Instructions to use Semih/wav2vec2_Irish_Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Semih/wav2vec2_Irish_Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Semih/wav2vec2_Irish_Large")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Semih/wav2vec2_Irish_Large") model = AutoModelForCTC.from_pretrained("Semih/wav2vec2_Irish_Large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d7780f821bc48a524d12daa03d79274ef701166141d060f6f7fe9ac0d1c5f08
- Size of remote file:
- 1.26 GB
- SHA256:
- 58d5619c3be4b96b20ed518b36995d31dabcc64c723cc133740bd0054d386f33
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