Automatic Speech Recognition
PEFT
Safetensors
English
Nigerian Pidgin
nigerian-pidgin
speech-recognition
whisper
lora
africa
low-resource
Eval Results (legacy)
Instructions to use michaelodafe/whisper-pidgin-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use michaelodafe/whisper-pidgin-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("openai/whisper-large-v3-turbo") model = PeftModel.from_pretrained(base_model, "michaelodafe/whisper-pidgin-v1") - Notebooks
- Google Colab
- Kaggle
File size: 410 Bytes
6ed8304 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"feature_extractor": {
"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,
"return_attention_mask": false,
"sampling_rate": 16000
},
"processor_class": "WhisperProcessor"
}
|