I am using the Sentic-GCN Aspect Based Sentiment Analysis. Is it required to get our dataset to train the model
Is it necessary to train the model which is already pretrained?
The pretrained weights provided for download by AI Singapore are trained on the Sem-Eval14, Sem-Eval15, and Sem-Eval16 restaurant review dataset (documented in the model card, https://sgnlp.aisingapore.net/aspect-based-sentiment-analysis).
This pretrained model is unlikely to perform well in the domain outside of restaurant review, therefore if your use case is not performing aspect-based sentiment analysis of restaurant review, it is recommended to train your own version of the SenticGCN model with a dataset suitable for your use case.
Hope this helps.
This error message is due to the installed Pytorch package not matching the CUDA version installed on your machine. May I check what is CUDA version installed on your machine? And may I also know if you install Pytorch via Pip or Conda?
For example, if you are installing Pytorch using pip and your CUDA version is 11.6, you will need to include the `--extra-index-url https://download.pytorch.org/whl/cu116` argument to your pip install command in order to install the correct compiled version of Pytorch.