Automatic Speech Recognition
Transformers
PyTorch
Vietnamese
wav2vec2
feature-extraction
audio
speech
Transformer
Eval Results (legacy)
Instructions to use hoangbinhmta99/wav2vec-NCKH-2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoangbinhmta99/wav2vec-NCKH-2022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hoangbinhmta99/wav2vec-NCKH-2022")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hoangbinhmta99/wav2vec-NCKH-2022") model = AutoModel.from_pretrained("hoangbinhmta99/wav2vec-NCKH-2022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8091685f2214a95fd86ff676f30796f5836175ecfdc0971f75e3cbfd14dac42
- Size of remote file:
- 2.48 GB
- SHA256:
- e6e5c67796f2399c116073286a0870f141b4ddf1b6a75723c139c77d21114d55
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