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