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 preprocessor_config.json from Archan/hindi-turn-detector-with-random-pauses: direct link, hf CLI and curl.
- Browser
- Download file 313 Bytes
-
https://huggingface.co/Archan/hindi-turn-detector-with-random-pauses/resolve/ea28c95e3382cee1cd65814d42e0debc2cea1338/preprocessor_config.json
- Command line
-
hf download hf://Archan/hindi-turn-detector-with-random-pauses@ea28c95e3382cee1cd65814d42e0debc2cea1338/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Archan/hindi-turn-detector-with-random-pauses/resolve/ea28c95e3382cee1cd65814d42e0debc2cea1338/preprocessor_config.json
313 Bytes
| { | |
| "chunk_length": 8, | |
| "dither": 0.0, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 80, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "n_samples": 128000, | |
| "nb_max_frames": 800, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000 | |
| } | |