Instructions to use Fhrozen/test_an4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use Fhrozen/test_an4 with ESPnet:
import soundfile from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "Fhrozen/test_an4" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Download meta.yaml from Fhrozen/test_an4: direct link, hf CLI and curl.
- Browser
- Download file 360 Bytes
-
https://huggingface.co/Fhrozen/test_an4/resolve/main/meta.yaml
- Command line
-
hf download hf://Fhrozen/test_an4/meta.yaml
-
curl -L -o meta.yaml https://huggingface.co/Fhrozen/test_an4/resolve/main/meta.yaml
360 Bytes
| espnet: 0.10.4a1 | |
| files: | |
| asr_model_file: exp/asr_train_raw_en_bpe30/2epoch.pth | |
| lm_file: exp/lm_train_lm_en_bpe30/39epoch.pth | |
| python: "3.9.7 (default, Sep 16 2021, 13:09:58) \n[GCC 7.5.0]" | |
| timestamp: 1634655646.769093 | |
| torch: 1.9.0 | |
| yaml_files: | |
| asr_train_config: exp/asr_train_raw_en_bpe30/config.yaml | |
| lm_train_config: exp/lm_train_lm_en_bpe30/config.yaml | |