Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Question(s) Generation
text-generation-inference
Instructions to use consciousAI/question-generation-auto-t5-v1-base-s-q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use consciousAI/question-generation-auto-t5-v1-base-s-q with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("consciousAI/question-generation-auto-t5-v1-base-s-q") model = AutoModelForMultimodalLM.from_pretrained("consciousAI/question-generation-auto-t5-v1-base-s-q") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 653275411baeee8fc81a1be5fb0f27a5aec7036d03fa4b71e3fc61b336e0301c
- Size of remote file:
- 990 MB
- SHA256:
- 465fc561bd559b272b941a03ad9a9c7f58575be6235825ed76e92898630f9c04
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.