|
|
--- |
|
|
language: |
|
|
- as |
|
|
- bn |
|
|
- brx |
|
|
- doi |
|
|
- gu |
|
|
- hi |
|
|
- kn |
|
|
- kok |
|
|
- ks |
|
|
- mai |
|
|
- ml |
|
|
- mni |
|
|
- mr |
|
|
- ne |
|
|
- or |
|
|
- pa |
|
|
- sa |
|
|
- sat |
|
|
- sd |
|
|
- ta |
|
|
- te |
|
|
- ur |
|
|
pipeline_tag: automatic-speech-recognition |
|
|
library_name: transformers |
|
|
--- |
|
|
|
|
|
```bash |
|
|
pip install -q torch_state_bridge srt webrtcvad torchcodec |
|
|
``` |
|
|
|
|
|
```python |
|
|
from transformers import AutoModel |
|
|
model = AutoModel.from_pretrained("shethjenil/Indic-STT", language="hi", trust_remote_code=True, dtype="auto") |
|
|
wav , sr = torchaudio.load("audio.wav") |
|
|
for i in model.transcribe(wav,sr,4): |
|
|
print("".join(i.splitlines()[2::4]).replace("▁"," ").replace("<line>","\n")) |
|
|
|
|
|
``` |
|
|
|
|
|
```python |
|
|
full_model = AutoModel.from_pretrained("shethjenil/Indic-STT", trust_remote_code=True, dtype="auto") |
|
|
full_model.language = "hi" |
|
|
``` |
