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:
- f262225c3caee6709f2a2d0364681865c993841c816f80b5878800e416b023e4
- Size of remote file:
- 1.26 GB
- SHA256:
- cca874fe1a63258f8a156cbb08ce556dcd500e985353c62831de389705243f17
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