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")# pip install -U transformers accelerate # 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
Download training_args.bin from pius-code/asha_twi_adapter: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/pius-code/asha_twi_adapter/resolve/main/training_args.bin
- Command line
-
hf download hf://pius-code/asha_twi_adapter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pius-code/asha_twi_adapter/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- a7eba5289dff75a4c6d170e6bcd2e0596ae500eef6489fec058918a4d6435e71
- Size of remote file:
- 5.2 kB
- SHA256:
- 23ef7d6cc4fb6a948472d6b9385f684f45e8752a87f12d724ae32805fa715738
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