Automatic Speech Recognition
PEFT
Safetensors
Wolof
French
English
Generated from Trainer
multilingual
ASR
Open-Source
Eval Results (legacy)
Instructions to use CAYTU/whosper-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CAYTU/whosper-large 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, "CAYTU/whosper-large") - Notebooks
- Google Colab
- Kaggle
File size: 339 Bytes
acc977f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"chunk_length": 30,
"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
}
|