Instructions to use abosalah/ASR_Quran_model_LoRA_test_version with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abosalah/ASR_Quran_model_LoRA_test_version with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abosalah/ASR_Quran_model_LoRA_test_version", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from abosalah/ASR_Quran_model_LoRA_test_version: direct link, hf CLI and curl.
- Browser
- Download file 410 Bytes
-
https://huggingface.co/abosalah/ASR_Quran_model_LoRA_test_version/resolve/main/processor_config.json
- Command line
-
hf download hf://abosalah/ASR_Quran_model_LoRA_test_version/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/abosalah/ASR_Quran_model_LoRA_test_version/resolve/main/processor_config.json
410 Bytes
| { | |
| "feature_extractor": { | |
| "chunk_length": 30, | |
| "dither": 0.0, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 128, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "n_samples": 480000, | |
| "nb_max_frames": 3000, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000 | |
| }, | |
| "processor_class": "WhisperProcessor" | |
| } | |