Automatic Speech Recognition
Transformers
PyTorch
JAX
Vietnamese
wav2vec2
language-modeling
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use leduytan93/Fine-Tune-XLSR-Wav2Vec2-Speech2Text-Vietnamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leduytan93/Fine-Tune-XLSR-Wav2Vec2-Speech2Text-Vietnamese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="leduytan93/Fine-Tune-XLSR-Wav2Vec2-Speech2Text-Vietnamese")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("leduytan93/Fine-Tune-XLSR-Wav2Vec2-Speech2Text-Vietnamese") model = AutoModelForCTC.from_pretrained("leduytan93/Fine-Tune-XLSR-Wav2Vec2-Speech2Text-Vietnamese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Error:"datasets[1]" must be a string
README.md exists but content is empty.
- Downloads last month
- 11
Evaluation results
- Test WER on Common Voice viself-reported25.207