Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use ahishamm/finetuned-whisper-quranic-large-v3-10000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahishamm/finetuned-whisper-quranic-large-v3-10000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ahishamm/finetuned-whisper-quranic-large-v3-10000")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ahishamm/finetuned-whisper-quranic-large-v3-10000") model = AutoModelForSpeechSeq2Seq.from_pretrained("ahishamm/finetuned-whisper-quranic-large-v3-10000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85362c561e8b129032f1e3aa9fe1a8d21bfad09e9a3f8222eea81d0492ecdfab
- Size of remote file:
- 1.18 GB
- SHA256:
- 14a0007e141033d74713a961d40ffe74027a4b357ed9f20f02e74e92a69ed92b
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