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
File size: 229 Bytes
f9cd7b3 | 1 2 3 4 5 6 7 8 9 10 11 | {
"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
}
|