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:
- a7eba5289dff75a4c6d170e6bcd2e0596ae500eef6489fec058918a4d6435e71
- Size of remote file:
- 5.2 kB
- SHA256:
- 23ef7d6cc4fb6a948472d6b9385f684f45e8752a87f12d724ae32805fa715738
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