Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
lasr_ctc
asr
speech-to-text
medical-asr
african-accents
ghanaian-english
twi
akan
fante
ctc
Instructions to use samwell/medasr-ghana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samwell/medasr-ghana with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="samwell/medasr-ghana")# Load model directly from transformers import AutoModelForCTC model = AutoModelForCTC.from_pretrained("samwell/medasr-ghana", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "feature_extractor_type": "LasrFeatureExtractor", | |
| "feature_size": 128, | |
| "hop_length": 160, | |
| "n_fft": 512, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "processor_class": "LasrProcessor", | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "win_length": 400 | |
| } | |