Automatic Speech Recognition
NeMo
ONNX
Arabic
fastconformer_hybrid
streaming
cache-aware
quran
arabic
fastconformer
Instructions to use Muno459/fastconformer-quran-streaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Muno459/fastconformer-quran-streaming with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Muno459/fastconformer-quran-streaming") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Clarification Regarding Commercial Use of Quran Models
1
#7 opened about 1 month ago
by
ahsan567
Newbie help
❤️ 1
12
#6 opened about 1 month ago
by
AhmeDses
Alslamo alaikom my brother <3
3
#5 opened about 2 months ago
by
TheGreatQuran
Alslamo alaikom my brother <3 , you can export a mixed q4 with q8 model
6
#4 opened about 2 months ago
by
TheGreatQuran
Alslamo alaikom my brother <3
4
#3 opened about 2 months ago
by
TheGreatQuran
Mash'a Allah , that is an awesome work
11
#2 opened about 2 months ago
by
TheGreatQuran
Python ONNX inference example needed
1
#1 opened 2 months ago
by
seraaj