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 AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.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
|
@@ -48,7 +48,7 @@ If you use this adapter, please cite:
|
|
| 48 |
@misc{aguyatimothy2025asantetwi,
|
| 49 |
author = {Timothy Aguya, Akasiya},
|
| 50 |
title = {Whisper Large v3 Turbo — Asante Twi LoRA Adapter},
|
| 51 |
-
year = {
|
| 52 |
publisher = {HuggingFace},
|
| 53 |
url = {https://huggingface.co/rootabytes/whisper-large-v3-turbo-asante-twi-lvp}
|
| 54 |
}
|
|
|
|
| 48 |
@misc{aguyatimothy2025asantetwi,
|
| 49 |
author = {Timothy Aguya, Akasiya},
|
| 50 |
title = {Whisper Large v3 Turbo — Asante Twi LoRA Adapter},
|
| 51 |
+
year = {2026},
|
| 52 |
publisher = {HuggingFace},
|
| 53 |
url = {https://huggingface.co/rootabytes/whisper-large-v3-turbo-asante-twi-lvp}
|
| 54 |
}
|