Instructions to use gigant/graphlongt5-dependency-0228 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/graphlongt5-dependency-0228 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gigant/graphlongt5-dependency-0228") model = AutoModelForSeq2SeqLM.from_pretrained("gigant/graphlongt5-dependency-0228") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e52458c78571e4e8264fa1ee7d6750ea64cf51efb18fd675f679da374e769e6
- Size of remote file:
- 495 MB
- SHA256:
- da1b58024b38b7b86bac71929b1ff8f1b979b006dd50d9e5f16bd804c93626f1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.