Instructions to use joaoalvarenga/wav2vec2-cetuc-sid-voxforge-mls-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/wav2vec2-cetuc-sid-voxforge-mls-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joaoalvarenga/wav2vec2-cetuc-sid-voxforge-mls-0")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/wav2vec2-cetuc-sid-voxforge-mls-0") model = AutoModelForCTC.from_pretrained("joaoalvarenga/wav2vec2-cetuc-sid-voxforge-mls-0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a69879b07af0a3353fa71e4ae8fb94de61c97a8ec891ccb93bf9dacc735a0fc
- Size of remote file:
- 1.26 GB
- SHA256:
- f769d98633d7a8088492ea41fa128e94a21899bd381130b68eceab09adaef10e
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