Automatic Speech Recognition
Transformers
PyTorch
JAX
Vietnamese
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use CuongLD/wav2vec2-large-xlsr-vietnamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CuongLD/wav2vec2-large-xlsr-vietnamese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CuongLD/wav2vec2-large-xlsr-vietnamese")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("CuongLD/wav2vec2-large-xlsr-vietnamese") model = AutoModelForCTC.from_pretrained("CuongLD/wav2vec2-large-xlsr-vietnamese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae7bda248b707406c9d331a538a50fc90ee3c388d5bff0e139a8a932c4624641
- Size of remote file:
- 1.26 GB
- SHA256:
- 84cd5e45d5e8ea65d52d2b7251926ae35a6006809274de7e42490270aa887fd1
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