Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
Instructions to use tonyalves/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tonyalves/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tonyalves/output")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("tonyalves/output") model = AutoModelForCTC.from_pretrained("tonyalves/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17a505be78c750b993d159c6786a2ae9077ca973ab5d942908cbe3e8bc2766a8
- Size of remote file:
- 1.26 GB
- SHA256:
- 5814f2e54e154764702a502e838fec36c9ca4a1226a9d890210218c0d69790b5
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