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Hi, I Would Like To Configure Clearml-Server To Connect To An S3 Bucket In Order To Store Artefacts - I'Ve Taken A Look On This Page
Hi @<1687643893996195840:profile|RoundCat60>
I think the best way will be to configure a default output_uri
to be used by all tasks: None , under default_output_uri
just write your bucket path ( None ).
When using S3/google storage/azure, you will also need to add your credentials in this section - None (s3 in this link),
and install clearml with storage requirements:pip install clearml[s3]
for S3pip install clearml[azure]
for azurepip install clearml[gs]
for google storage
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3 years ago
5 months ago