Automatic Speech Recognition
Transformers
Safetensors
Arabic
multi_level_ctc
feature-extraction
quran
phoneme-recognition
ctc
wav2vec2-bert
distillation
custom_code
Instructions to use sysofwan/hifzguide-muaalem-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sysofwan/hifzguide-muaalem-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sysofwan/hifzguide-muaalem-mini", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sysofwan/hifzguide-muaalem-mini", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from sysofwan/hifzguide-muaalem-mini: direct link, hf CLI and curl.
- Browser
- Download file 229 Bytes
-
https://huggingface.co/sysofwan/hifzguide-muaalem-mini/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://sysofwan/hifzguide-muaalem-mini/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/sysofwan/hifzguide-muaalem-mini/resolve/main/preprocessor_config.json
229 Bytes
| { | |
| "feature_extractor_type": "SeamlessM4TFeatureExtractor", | |
| "feature_size": 80, | |
| "num_mel_bins": 80, | |
| "padding_side": "right", | |
| "padding_value": 1, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "stride": 2 | |
| } | |