Instructions to use gigant/graph_t5_230822 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/graph_t5_230822 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gigant/graph_t5_230822") model = AutoModelForSeq2SeqLM.from_pretrained("gigant/graph_t5_230822") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bbf075b62454655176a0589a3adb5646a33bc7eec6198b85dfca8317a0bdeaf
- Size of remote file:
- 990 MB
- SHA256:
- c315b321d65fa4e4489a3d8fee1f9e2d5153bdde5ed226a0705fc5a585e1be25
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.