Instructions to use joaoalvarenga/wav2vec2-cetuc-sid-voxforge-mls-2 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-2 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-2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/wav2vec2-cetuc-sid-voxforge-mls-2") model = AutoModelForCTC.from_pretrained("joaoalvarenga/wav2vec2-cetuc-sid-voxforge-mls-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27d4ce37ae54e98e01fefd773dd5c3f4b2a248610b764f994ca8b131aa6cb6a5
- Size of remote file:
- 1.26 GB
- SHA256:
- fa9aa919bfd287b0640dbdb4eeea8e23f96cdef320a1813a7ebd4e75d207ca5c
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