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
|
Download README.md from Ducnt17/ChunkFormer: direct link, hf CLI and curl.
- Browser
- Download file 279 Bytes
-
https://huggingface.co/Ducnt17/ChunkFormer/resolve/main/README.md
- Command line
-
hf download hf://Ducnt17/ChunkFormer/README.md
-
curl -L -o README.md https://huggingface.co/Ducnt17/ChunkFormer/resolve/main/README.md
279 Bytes
metadata
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