Instructions to use rootabytes/Rootal-Twi-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rootabytes/Rootal-Twi-ASR with PEFT:
from peft import PeftModel from transformers import AutoModelForSpeechSeq2Seq base_model = AutoModelForSpeechSeq2Seq.from_pretrained("katrintomanek/whisper-large-v3-turbo_Akan_standardspeech_specaugment") model = PeftModel.from_pretrained(base_model, "rootabytes/Rootal-Twi-ASR") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -47,10 +47,10 @@ If you use this adapter, please cite:
|
|
| 47 |
```bibtex
|
| 48 |
@misc{aguyatimothy2025asantetwi,
|
| 49 |
author = {Timothy Aguya, Akasiya},
|
| 50 |
-
title = {
|
| 51 |
year = {2026},
|
| 52 |
publisher = {HuggingFace},
|
| 53 |
-
url = {https://huggingface.co/rootabytes/
|
| 54 |
}
|
| 55 |
|
| 56 |
@misc{financialinclusion2022,
|
|
|
|
| 47 |
```bibtex
|
| 48 |
@misc{aguyatimothy2025asantetwi,
|
| 49 |
author = {Timothy Aguya, Akasiya},
|
| 50 |
+
title = {Rootal-Twi-ASR},
|
| 51 |
year = {2026},
|
| 52 |
publisher = {HuggingFace},
|
| 53 |
+
url = {https://huggingface.co/rootabytes/Rootal-Twi-ASR}
|
| 54 |
}
|
| 55 |
|
| 56 |
@misc{financialinclusion2022,
|