Are these models still available to download? I am trying out the Semantic Similarity example, but when I download the model:
embedder = SentenceTransformer('bert-base-nli-mean-tokens'),
I get a Connection Error:
ConnectionError: HTTPSConnectionPool(host='public.ukp.informatik.tu-darmstadt.de', port=443): Max retries exceeded with url: /reimers/sentence-transformers/v0.2/bert-base-nli-mean-tokens.zip (Caused by NewConnectionError('
: Failed to establish a new connection: [Errno 60] Operation timed out',))
I checked my network settings, and everything looks fine: no proxies, I can download models from other packages, no firewall.
Anyone had the same issue?
Hi @AMChierici
If the automatic download does not work, you can find all models here:
https://public.ukp.informatik.tu-darmstadt.de/reimers/sentence-transformers/v0.2/
Download it, unzip it and then you can get the embedder like this:
embedder = SentenceTransformer('path/to/unzipped/model')
Thanks, @nreimers !
Hi @AMChierici
If the automatic download does not work, you can find all models here:
https://public.ukp.informatik.tu-darmstadt.de/reimers/sentence-transformers/v0.2/Download it, unzip it and then you can get the embedder like this:
embedder = SentenceTransformer('path/to/unzipped/model')
Actually, I believe the server was down for a period of time yesterday, which was why the download didn't work. It was back up in a while though.
Hi,
I have a similar problem now, the models are not accessible from automatic nor with the given link above.
Can you please check if the server is up?
Thanks.
There is currently a power outage. I hope the server is back up soon.
You can also access the models via huggingface
https://huggingface.co/sentence-transformers/bert-base-nli-mean-tokens
This is how you load them from huggingface
https://sbert.net/docs/training/overview.html#creating-networks-from-scratch
As model name put sentence-transformers/bert-...
Most helpful comment
Hi @AMChierici
If the automatic download does not work, you can find all models here:
https://public.ukp.informatik.tu-darmstadt.de/reimers/sentence-transformers/v0.2/
Download it, unzip it and then you can get the embedder like this: