Ramp Up

Hi, thanks for creating this super fast package. I use it a lot. I am trying to use the glove embeddings to create sentence representations. My first attempt is to...

Thanks for the prompt answer. I am able to run the code, now I'll try to figure what to make of it ;-)

Hi Dimitri, I was looking at the results using the method you mentioned. The resulting sentence_vectors are now a matrix with n documents X w averaged word vectors. The problem...

Great, thanks for the superfast response. Would you recommend tokenize_sentences from tokenizer.....just wondering since you're also an package author there ;-)

Thanks very much, please let me know if I can be of assistance in testing / documentation etc.

Hi, Any news, perhaps on making predictions? Thanks. By the way, I used your model in a Google Colab, be happy to share if that is something you are interested...

OK, thanks for the update.

Very Nice, thanks. I'll see if I can get it working on my dataset this week!

Hi Mark, Thanks for making Google Cloud available for R, really great. I had a question about the Secrets. I have a Plumber function where I want to download a...

Thanks for the promt response. Should I pass in the cloudrunner service account? e.g. `googlecloudrunner@project_id.iam.gserviceaccount.com` and does it matter if the gar_gce_auth() call live inside or outside of the run...