Automatic Speech Recognition
Transformers
PyTorch
JAX
Catalan
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use ccoreilly/wav2vec2-large-xlsr-catala with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccoreilly/wav2vec2-large-xlsr-catala with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ccoreilly/wav2vec2-large-xlsr-catala")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ccoreilly/wav2vec2-large-xlsr-catala") model = AutoModelForCTC.from_pretrained("ccoreilly/wav2vec2-large-xlsr-catala") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e541561c65b9ae10422286b9d52f6baf8183b79909fb37cd9a59221f93b6694
- Size of remote file:
- 1.26 GB
- SHA256:
- ac6e12ea31375d5f6080a3456449b55bc5e008df9e356b892726e27469c6dc0b
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