Closed Jaspernwd closed 3 years ago
Tried on another Google colab account, issue persists.
Thanks for notifying us of this issue. We changed the config.json
earlier today to improve support for the SimpleTransformers library and are in the progress of uploading a TF version that should be compatible. The Pytorch version was updated just now.
This should be fixed in ~10 min. Sorry for the inconvenience.
Thanks so much! That's amazing. Thanks for the quick reply!!
Got a little stressed there for a second.
The TF model should be updated now as well. Could you validate this (with from_pretrained(..., force_download=True
to make sure the new weights are downloaded)?
PS: I'm always happy to hear what you are using RobBERT for 🙂
Can confirm that it works again! Thanks for the help!
I am doing my thesis for the master's in data science. I researched involved the creation of an annotated Dutch emotion corpus. 16 volunteers helped in the annotation of text that was scraped from Reddit & Trustpilot. With RobBERT I want to establish a benchmark emotion classification performance. I am doing a bayesian search for HP's. The amount of utterances in my corpus is quite low.. So I'm impressed that the model still performs! Thanks for creating this!
Happy to hear and that sounds like an interesting project, good luck!
I'll close this issue, since the migration is now complete.
Hi all,
I am using RobBERT for a Dutch sequence classification task. Everything worked well (more than 100 times), But now all of a sudden the model does not load anymore.
Downloading the model using: model = TFRobertaForSequenceClassification.from_pretrained("pdelobelle/robbert-v2-dutch-base", num_labels = 9)
I get the following error:
ValueError: cannot reshape array of size 30708480 into shape (40000,768)
I am using gp_minimize (function from scikit-optimize), it has worked for many times before this has happened. I added print functions before and after the code lines of the function that gp_minimize tries to optimize, and found out that the problem really is in downloading the model using the code line above.
Please help me, I was about to do the final tests for my thesis. My deadline is next week.