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:
- 100452652b6659db60dd2e410a6109d7b34d045e60398abc0c1898387deb29c4
- Size of remote file:
- 1.26 GB
- SHA256:
- c0a0fbd5f98c0ba6beec0dfc610dc582c3938e7032dbc5e7dff9c15c820681e1
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