Instructions to use Archan/hindi-turn-detector-with-random-pauses with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Archan/hindi-turn-detector-with-random-pauses with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Archan/hindi-turn-detector-with-random-pauses")# Load model directly from transformers import TurnDetector model = TurnDetector.from_pretrained("Archan/hindi-turn-detector-with-random-pauses", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from Archan/hindi-turn-detector-with-random-pauses: direct link, hf CLI and curl.
- Browser
- Download file 364 Bytes
-
https://huggingface.co/Archan/hindi-turn-detector-with-random-pauses/resolve/main/all_results.json
- Command line
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hf download hf://Archan/hindi-turn-detector-with-random-pauses/all_results.json
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curl -L -o all_results.json https://huggingface.co/Archan/hindi-turn-detector-with-random-pauses/resolve/main/all_results.json
364 Bytes
| { | |
| "augmented_accuracy": 0.5095, | |
| "augmented_f1": 0.6746268656716418, | |
| "augmented_loss": 0.6926261782646179, | |
| "augmented_precision": 0.509009009009009, | |
| "augmented_recall": 1.0, | |
| "clean_accuracy": 0.5095, | |
| "clean_f1": 0.6746268656716418, | |
| "clean_loss": 0.6926307082176208, | |
| "clean_precision": 0.509009009009009, | |
| "clean_recall": 1.0 | |
| } |