---
license: apache-2.0
language:
- he
- en
---

Background
-

This ASR model was trained on a private dataset containing approximately 310 hours of high-quality Hebrew data.
Data was transcribed using professional transcription services.

Model name decoding:

\<model name\>-\<size\>-\<dataset\>-\<epoch\>

This specific model is a faster-whisper variant, large-v2 variant, trained on version 1 of our private dataset (pd1), and saved after one epoch.



Running the model
-

```
# Initialize the model
import faster_whisper
model = faster_whisper.WhisperModel('ivrit-ai/faster-whisper-v2-pd1-e1')

# Transcribe a media file
segs, _ = model.transcribe(mp3_file, language='he')
for seg in segs:
    print(seg.text)
```

The segment object contains more data such as timestamps.
Feel free to explore them.