Instructions to use gigant/graph_t5_230908 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/graph_t5_230908 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gigant/graph_t5_230908") model = AutoModelForSeq2SeqLM.from_pretrained("gigant/graph_t5_230908") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88e3352fc037d29108016acf3a9c7ce71dfc0618124a498acd5f8131d0041d19
- Size of remote file:
- 990 MB
- SHA256:
- 88bf6ae008c2be3b63bc4ff1ce1af15f9a0fec3deb1e487a212a3160574451f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.