NameError: name 'RobertaTokenizerFast' is not defined
Anyone have an idea how to solve this?
@Schimidt99 could you check if you have transformers installed?
yes, before starting the tests I installed "transformers":
pip install transformers
from transformers import RobertaTokenizerFast, BatchEncoding, BertTokenizer from tokenizers import Encoding
I work at Google Colab
Now, I understood that I need to install some virtual environment to work with USPTO database, for Google Colab. There are no hints about this in "https://deepchem.readthedocs.io/" Does anyone here have any tips?
Sorry have a scheduling conflict so I don’t think I can make OH today. Back as usual tomorrow
Still out so won't be at OH / dev call today. Back as usual tomorrow
Running a few minutes late
No office hours or meetings for the rest of this week for Thanksgiving. Happy Thanksgiving to everyone!
Hi all, I'm new to deepchem so I have a noob question. I wanted to train a deep learning model on the QM9 dataset so I started with a DTNN model with the same hyperparamters as in the qm9_DTNN.py example. This got me very poor pearson r2 scores, but I saw in issue #2475 on github that this might be a bug related to that type of model. However, after trying to train a GraphConv model on it this only gave me slightly better results (~0.33 pearson_r2 after 100 epochs). I used the default hyperparameters for the GraphConv model. Does anyone know if this can be resolved by hyperparameter tuning and if so, can you give me some advice on how to do this?