Instructions to use Ducnt17/ChunkFormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use Ducnt17/ChunkFormer with ESPnet:
import soundfile from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "Ducnt17/ChunkFormer" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
File size: 279 Bytes
7e4bc6a 4208567 7e4bc6a 346ec9e de8d08e 4208567 7e4bc6a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ---
license: apache-2.0
datasets:
- doof-ferb/vlsp2020_vinai_100h
- AILAB-VNUHCM/vivos
language:
- vi
pipeline_tag: automatic-speech-recognition
metrics:
- wer
base_model:
- nvidia/stt_ru_conformer_ctc_large
tags:
- audio
new_version: Ducnt17/ChunkFormer
library_name: espnet
--- |