Instructions to use KrorngAI/TrorYongASR-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KrorngAI/TrorYongASR-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KrorngAI/TrorYongASR-tiny", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KrorngAI/TrorYongASR-tiny", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -48,7 +48,7 @@ pipeline_tag: automatic-speech-recognition
|
|
| 48 |
|
| 49 |
### Model Description
|
| 50 |
|
| 51 |
-
This is a **29M parameter** ASR (Automatic Speech Recognition) model inspired by [PARSeq](https://github.com/baudm/parseq/tree/main) and [Whisper](https://github.com/openai/whisper/tree/main).
|
| 52 |
|
| 53 |
<div align="center">
|
| 54 |
|
|
|
|
| 48 |
|
| 49 |
### Model Description
|
| 50 |
|
| 51 |
+
This is a **29M parameter** ASR (Automatic Speech Recognition) model inspired by [PARSeq](https://github.com/baudm/parseq/tree/main) and [Whisper](https://github.com/openai/whisper/tree/main). Compared to [whisper-tiny](https://huggingface.co/openai/whisper-tiny) with **39M** parameters, TrorYongASR-tiny is a lightweight model designed for efficient speech-to-text task, particularly suitable for edge devices and mobile applications. The model supports both Khmer and English languages.
|
| 52 |
|
| 53 |
<div align="center">
|
| 54 |
|