Automatic Speech Recognition
PEFT
Safetensors
Xiang Chinese
French
whisper
asr
songhoy
Mali
MALIBA-AI
lora
fine-tuned
code-switching
african-language
Eval Results (legacy)
Instructions to use MALIBA-AI/songhoy-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MALIBA-AI/songhoy-asr with PEFT:
from peft import PeftModel from transformers import AutoModelForSpeechSeq2Seq base_model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v2") model = PeftModel.from_pretrained(base_model, "MALIBA-AI/songhoy-asr") - Notebooks
- Google Colab
- Kaggle
File size: 356 Bytes
52d3cd2 | 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": 80,
"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
}
|