Automatic Speech Recognition
Transformers.js
ONNX
English
multilingual
whisper
word-level-timestamps
output_attentions
Instructions to use edersonff/whisper-large-v3_timestamped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use edersonff/whisper-large-v3_timestamped with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'edersonff/whisper-large-v3_timestamped');
File size: 340 Bytes
5c92840 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"chunk_length": 30,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"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
}
|