Instructions to use 2nuttertools/typhoon-whisper-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use 2nuttertools/typhoon-whisper-turbo with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', '2nuttertools/typhoon-whisper-turbo');
typhoon-whisper-turbo, ONNX with word timing
ONNX conversion of typhoon-ai/typhoon-whisper-turbo (MIT) for running in the browser with transformers.js. The decoder also outputs its cross-attention maps, which word-level timing is computed from.
Changes from the original files:
generation_config.json:alignment_headsset to[[2,11],[1,1],[3,6],[2,4],[3,14],[2,8]], the heads that track time best after fine-tuning.- Weights converted to ONNX in 4-bit and 8-bit variants. No retraining.
The model was trained without timestamp tokens: generate with return_timestamps: false and return_token_timestamps: true.
All credit for the model goes to its original authors (typhoon-ai).
- Downloads last month
- 87
Model tree for 2nuttertools/typhoon-whisper-turbo
Base model
openai/whisper-large-v3 Finetuned
openai/whisper-large-v3-turbo Finetuned
typhoon-ai/typhoon-whisper-turbo