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:
- 47267c5416ca9868ef3f84461ec4f749bbb2a6550e43131c357d7a6d085e8971
- Size of remote file:
- 1.26 GB
- SHA256:
- 93e6deeedcfe7300b2b82f250f48f1eded1b124faa388c8ee4c17ef2a26ae91f
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