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 pytorch_model.bin from Ducnt17/ChunkFormer: direct link, hf CLI and curl.
- Browser
- Download file 614 MB
-
https://huggingface.co/Ducnt17/ChunkFormer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ducnt17/ChunkFormer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ducnt17/ChunkFormer/resolve/main/pytorch_model.bin
614 MB
- Xet hash:
- d7c4ad70d2abca9750c5f5823b413903750cde27e5942e7c827443fc7bd2068e
- Size of remote file:
- 614 MB
- SHA256:
- c9c9d6e0dab607655c8babb01718066f6e08ccc8e6419acc1a67df971ad7ee99
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