Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
datasets:
|
| 4 |
+
- mozilla-foundation/common_voice_16_1
|
| 5 |
+
language:
|
| 6 |
+
- jv
|
| 7 |
+
metrics:
|
| 8 |
+
- wer
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
Model ini adalah hasil dari proses fine-tuning model Whisper Small pada dataset OpenSLR untuk bahasa Jawa. Anda dapat menggunakan model ini dengan menjalankan syntax berikut.
|
| 12 |
+
```python
|
| 13 |
+
from transformers import WhisperForConditionalGeneration, WhisperProcessor
|
| 14 |
+
|
| 15 |
+
model = WhisperForConditionalGeneration.from_pretrained("avalonai/whisper-small-jv")
|
| 16 |
+
processor = WhisperProcessor.from_pretrained("avalonai/whisper-small-jv")
|
| 17 |
+
```
|
| 18 |
+
|
| 19 |
+
Berdasarkan hasil eksperimen kami, model yang telah kami fine-tune berhasil memperoleh WER sebesar 23.22%.
|