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:
- 94cab054da3836d53924520c7f0f8bb17c4a7d9f7fd87510777e4f8bff87c5f5
- Size of remote file:
- 4.99 GB
- SHA256:
- 3f6481e3eacbc0f9e8a2f5aa04b020642fcaf0049ef6c8551ac026fafbdc9c0f
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