Comments (6)
I've found a solution:
pip install google-cloud-storage
(instruction says only pip install google-cloud)
Sincerely,
Wagner
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Hi, thanks for the report. Looks like the storage component must have been pulled out of the core cloud storage package. I've updated the instructions to include google-cloud-storage as well.
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@WagnerMadeira Hi , do you think you can help on this one #47?
The model gets deleted on cloud storage, I really want to try the model. I will be super appreciated if you can share the local copy of the models to me if you still have it. Thanks a lot!
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Do you think you can send it to my Gmail: [email protected]?
Thank you very much! Sorry for the late reply
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Hi, I got something here, please see figure. Not sure if it’s what you want. I could send it to you, but don’t know how, zipped file is almost 1 GB. Wagner From: Peiyu Wang @.> Sent: quarta-feira, 14 de dezembro de 2022 12:23 To: google/patents-public-data @.> Cc: WagnerMadeira @.>; Mention @.> Subject: Re: [google/patents-public-data] error in word2vec (#13) @WagnerMadeira https://github.com/WagnerMadeira Hi , do you think you can help on this one #47 <#47> ? The model gets deleted on cloud storage, I really want to try the model. I will be super appreciated if you can share the local copy of the models to me if you still have it. Thanks a lot! — Reply to this email directly, <#13 (comment)> view it on GitHub, or https://github.com/notifications/unsubscribe-auth/AJQCWYB4DVELYSENA23PWVLWNHQ6PANCNFSM4FTHQL7Q unsubscribe. You are receiving this because you were mentioned. https://github.com/notifications/beacon/AJQCWYBGPOQD7CHOEMJS6J3WNHQ6PA5CNFSM4FTHQL72YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOKCICJZY.gif Message ID: < @.> @.>
Please please send me a copy and I will share it through dropbox.
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Related Issues (20)
- ResourceExhaustedError while running Document_representation_from_BERT HOT 2
- Empty Tables in the Dataset
- Linking proteins and humangenes annotation preferred name to identifier HOT 9
- Converting Tensorflow Bert for Patent saved model to keras.
- How to access hidden layers? HOT 3
- How to download HOT 5
- BERT-Base
- context tokens
- Generating new Document Embeddings
- Sklearn 1.1.1 Issue HOT 1
- Dataset lacking cited_by data even though its available on the website. HOT 4
- claim_text_extraction.ipynb df = pd.read_csv('./data/20k_G_and_H_publication_numbers.csv') workaround
- Lots of Patents in the latest patent dataset are missing a description
- Missing embedding HOT 1
- lack of "vocab"
- Description and claims are missing for JP patents data.
- Decreasing number of annotations in google patents research in recent batches
- confidence>1 for annotations in google patent research
- Large decrease in number of OCID annotations HOT 1
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