Duplicated Space Not Working As Original

After cloning the repository and pinning the dependencies to older versions, transcription now completes successfully. So I’ve sent PR.

The cause was likely that PyTorch on Zero GPU defaulted to version 2.9, combined with the fact that PyTorch 2.9 and the new NeMo don’t seem to play well together. Also, I’m still not quite sure how to stabilize this Space with the new PyTorch and NeMo…

PR

• Ratnesh-dev/parakeet-tdt-0.6b-v3 · Fix version drift

Related issue

1. [NeMo 2.6] RNNT ASR inference fails on A100 (CUDA 12.8, PyTorch 2.9) with CUDA Graphs error CUDA failure! 35 · Issue #15145 · NVIDIA-NeMo/NeMo · GitHub
2. TDT Inference uses a lot of CPU and slow down with use_cuda_graph_decoder: True · Issue #15164 · NVIDIA-NeMo/NeMo · GitHub

Edit: You maybe need to do Factory rebuild to fix the Space after merged.