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:
- 946617d84614df24de6b6bd16db4b0079b0b811ca9a37deac18122230de9c4a8
- Size of remote file:
- 2.49 GB
- SHA256:
- e446c24ae0e2f926c25157936305c9098bbfe78dfa1a55e3b243fcf1e0c2c34c
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