Instructions to use tarteel-ai/whisper-base-ar-quran with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tarteel-ai/whisper-base-ar-quran with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tarteel-ai/whisper-base-ar-quran")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tarteel-ai/whisper-base-ar-quran") model = AutoModelForSpeechSeq2Seq.from_pretrained("tarteel-ai/whisper-base-ar-quran", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Request: ONNX conversion for Transformers.js
2
#14 opened 2 months ago
by
Oa-4
Informing About a New Optimized Model
👍 3
1
#13 opened about 1 year ago
by
OdyAsh
Realtime transcription
1
#12 opened over 1 year ago
by
amermismar
Upload WhisperForConditionalGeneration
#11 opened about 2 years ago
by
Democtic
Upload WhisperForConditionalGeneration
#10 opened about 2 years ago
by
Democtic
Upload WhisperForConditionalGeneration
#9 opened over 2 years ago
by
JanaSaadawi
Upload WhisperForConditionalGeneration
#8 opened over 2 years ago
by
JanaSaadawi
Upload WhisperForConditionalGeneration
#7 opened over 2 years ago
by
JanaSaadawi
Upload WhisperForConditionalGeneration
#6 opened over 2 years ago
by
settaii
realTime not working
1
#5 opened almost 3 years ago
by
mks2000
Librarian Bot: Add base_model information to model
#4 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
Demo for model usage?
2
#2 opened about 3 years ago
by
TheaMT
Timestamping
❤️ 1
4
#1 opened about 3 years ago
by
husainnazer