Datasets:

---

cmu-mlsp

/

wavlm-large_layer21-librispeech-asr100h

like 0

Follow

Carnegie Mellon Machine Learning for Signal Processing Group 24

Xet hash:

4881b1efb9f10c2b3f92b88caa502f5fd88ca2c2501134455e87e475bff72daa

Size of remote file:

454 MB

·

SHA256:

e13a98fe1d98f00ac0f1034d70ef7a132d6ae7e38f7210b4dbc76e117c0cc69f

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.