Instructions to use hadifar/tqa_qg_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadifar/tqa_qg_t5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hadifar/tqa_qg_t5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hadifar/tqa_qg_t5") model = AutoModel.from_pretrained("hadifar/tqa_qg_t5") - Notebooks
- Google Colab
- Kaggle
Update Model Card
#2
by nc33 - opened
I am very impressed with your model, and I would appreciate it if you could provide more information about the training process or the datasets used !
Hey! Thanks for your interest to our work. You can find more details here:
https://ieeexplore.ieee.org/document/10051840/