Instructions to use valhalla/t5-base-e2e-qg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/t5-base-e2e-qg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("valhalla/t5-base-e2e-qg") model = AutoModelForSeq2SeqLM.from_pretrained("valhalla/t5-base-e2e-qg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39b02bd4800b20e65317ca6c94a2bbeb7a8ba8916cb5df8a5032a8e3d4a03159
- Size of remote file:
- 1.07 kB
- SHA256:
- c4a69c3d602b564cb86976b6149a650f238165e3b4dbae5d258c67abd9b6d29c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.