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
File size: 284 Bytes
4323dd9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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
}
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