| import transformers | |
| from transformers import pipeline | |
| import gradio as gr | |
| from evaluate import evaluator | |
| from datasets import load_dataset | |
| task_evaluator = evaluator("automatic-speech-recognition") | |
| data = load_dataset("mskov/miso_test", "en", split="test[:40]") | |
| results = task_evaluator.compute( | |
| model_or_pipeline="https://huggingface.co/mskov/whisper_miso", | |
| data=data, | |
| input_column="path", | |
| label_column="category", | |
| metric="wer", | |
| ) | |
| print(results) | |
| # whisper_esc50 = pipeline(model="mskov/whisper_esc50") | |
| #whisper_miso= pipeline(model="mskov/whisper_miso") | |
| # dataset = load_dataset("mskov/miso_test") | |