Instructions to use pyf98/librispeech_100_ctc_e_branchformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use pyf98/librispeech_100_ctc_e_branchformer with ESPnet:
import soundfile from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "pyf98/librispeech_100_ctc_e_branchformer" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
update path
Browse files
{scratch/bbjs/peng6/espnet-public/egs2/librispeech_100/asr1/data → data}/en_token_list/bpe_unigram5000/bpe.model
RENAMED
|
File without changes
|
{scratch/bbjs/peng6/espnet-public/egs2/librispeech_100/asr1/exp → exp}/asr_stats_raw_en_bpe5000_sp/train/feats_stats.npz
RENAMED
|
File without changes
|