Instructions to use pius-code/asha_twi_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pius-code/asha_twi_adapter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pius-code/asha_twi_adapter")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pius-code/asha_twi_adapter") model = AutoModelForCTC.from_pretrained("pius-code/asha_twi_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5950d6c50edfb1166185407d2ecc51cd39e8e9297c93f1fafbc8db43c5c2009d
- Size of remote file:
- 5.14 kB
- SHA256:
- 89ddab43c68302a3b6f0a4ad9e192893593a5ffbb9436de514779daa766931a3
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