Is there a way to download a model with the same API as in .from_pretrained
but without loading it? I want to separate the two steps. I’m already aware of huggingface_hub.snapshot_download
but it downloads the whole repo, whereas .from_pretrained
is more finegrained and only downloads .safetensors for instance if I pass the appropriate flags.
1 Like
Hi,
i tried:
from huggingface_hub import hf_hub_url, hf_hub_download
# Generate/show the URL
hf_hub_url(
repo_id=model,
filename="file_name",
)
# Download the file
hf_hub_download(
repo_id=model,
filename=filename,
local_dir = "/kaggle/working/"
)
i do not know your use case, but would love to hear.
Regards,
Ankush Singal
Hi, thank you for your answer, I was aware of this solution too but this unfortunately requires to know in advance all the files that need to be downloaded. I could create a wrapper for this, it’s not too difficult, but I figured that this is common enough that there may be a simpler way, as easy as .from_pretrained
.