Automatic Speech Recognition
Transformers
PyTorch
Vietnamese
wav2vec2
audio
speech
Transformer
vietnamese
Eval Results (legacy)
Instructions to use khanhld/wav2vec2-base-vietnamese-160h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khanhld/wav2vec2-base-vietnamese-160h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="khanhld/wav2vec2-base-vietnamese-160h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("khanhld/wav2vec2-base-vietnamese-160h") model = AutoModelForCTC.from_pretrained("khanhld/wav2vec2-base-vietnamese-160h") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -171,7 +171,7 @@ Duy Khanh, L. (2022). Finetune Wav2vec 2.0 For Vietnamese Speech Recognition [Da
|
|
| 171 |
|
| 172 |
<a name = "contact"></a>
|
| 173 |
### Contact
|
| 174 |
-
- khanhld218@
|
| 175 |
- [](https://github.com/)
|
| 176 |
- [](https://www.linkedin.com/in/khanhld257/)
|
| 177 |
|
|
|
|
| 171 |
|
| 172 |
<a name = "contact"></a>
|
| 173 |
### Contact
|
| 174 |
+
- khanhld218@gmail.com
|
| 175 |
- [](https://github.com/)
|
| 176 |
- [](https://www.linkedin.com/in/khanhld257/)
|
| 177 |
|