Instructions to use NEUDM/PICA-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NEUDM/PICA-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="NEUDM/PICA-V1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NEUDM/PICA-V1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
is there any possilbe?
#1
by petter2019 - opened
Hello, may I ask if you could provide the dataset used in the model?
I'm sorry, but due to the open source license of the PsyQA dataset, we cannot release the complete dataset. However, there is a dataset created solely by ChatGPT available in the selfchat project on GitHub.