Instructions to use AssistantApp/assistantapp-whisper-quran with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AssistantApp/assistantapp-whisper-quran with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AssistantApp/assistantapp-whisper-quran")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AssistantApp/assistantapp-whisper-quran") model = AutoModelForSpeechSeq2Seq.from_pretrained("AssistantApp/assistantapp-whisper-quran", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from AssistantApp/assistantapp-whisper-quran: direct link, hf CLI and curl.
- Browser
- Download file 170 Bytes
-
https://huggingface.co/AssistantApp/assistantapp-whisper-quran/resolve/main/train_results.json
- Command line
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hf download hf://AssistantApp/assistantapp-whisper-quran/train_results.json
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curl -L -o train_results.json https://huggingface.co/AssistantApp/assistantapp-whisper-quran/resolve/main/train_results.json
170 Bytes
| { | |
| "epoch": 3.2, | |
| "train_loss": 0.024749002781091257, | |
| "train_runtime": 101889.8071, | |
| "train_samples_per_second": 6.281, | |
| "train_steps_per_second": 0.049 | |
| } |