Instructions to use tonyalves/wav2vec2-300M-teste2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tonyalves/wav2vec2-300M-teste2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tonyalves/wav2vec2-300M-teste2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("tonyalves/wav2vec2-300M-teste2") model = AutoModelForCTC.from_pretrained("tonyalves/wav2vec2-300M-teste2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaf38c1e23967ecd5dbda268baa8211d1d5b22fad058d80faabfd6754a0fa4c7
- Size of remote file:
- 2.8 kB
- SHA256:
- 86c7f6004d5fd7d933040abfa2b518a0f32b83d6f0b81c22660d407b02c695bb
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