Instructions to use nguyenvulebinh/wav2vec2-bartpho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyenvulebinh/wav2vec2-bartpho with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nguyenvulebinh/wav2vec2-bartpho")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("nguyenvulebinh/wav2vec2-bartpho") model = AutoModelForSpeechSeq2Seq.from_pretrained("nguyenvulebinh/wav2vec2-bartpho", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9071679c98b11ef476869ff26501c22aee22174943b3f3dafc9a90f325c1935f
- Size of remote file:
- 1.82 GB
- SHA256:
- 0334955d73840896579cb3aeaf0675e55086f820f107f6615795d92c307d4024
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