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
File size: 357 Bytes
50151e9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"chunk_length": 30,
"dither": 0.0,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 400,
"n_samples": 480000,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "WhisperProcessor",
"return_attention_mask": false,
"sampling_rate": 16000
}
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