Cannot download models locally

Hi, I tried to run the commands, which worked perfectly file.

from speechbrain.pretrained import EncoderDecoderASR

asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/asr-crdnn-rnnlm-librispeech")

But when I looked over the model files, the files downloaded are just 158 kbs, and not the full files are downloaded.

Also, when I tried to download the files directly from Files and versions, the ckpt files are downloaded as zip. which cant be used later for inference. IS there any way to resolve it or it has been purposefully made like that.

[MClarkTurner]

Since, this issue is still open and it has been about 4 months. I also wanted to comment that the current implementation is unintuitive. This is especially egregious given the standard set by PyTorch, upon which speechbrain is built and what an outsider would consider, at a glance, to be standard practice. Furthermore, it was only after stumbling upon this issue board and the comments in #1055 that I was able to resolve changing the location of the cache placement (which is an otherwise undocumented process). For those interested, the solution is the following code:

export HUGGINGFACE_HUB_CACHE=<new_directory>

otherwise the code will default to placing a ./cache/huggingface under your /home directory.

[Aksh97]

Hi @Gastron, thanks for the reply. I wanted to store those files and containerize them so that it does not needs to be downloaded whenever I run the container. But unlike other repositories, where the full files are downloaded by default, instead of cache. Maybe for speechbrain we can put an arguement symlinks=true, to just add the symlinks and keep that by default. But if we need that to download full files, we can pass the arguement symlinks=false, we can at least download them.