Instructions to use learn3r/longt5_xl_gov_bp_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/longt5_xl_gov_bp_5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/longt5_xl_gov_bp_5") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/longt5_xl_gov_bp_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1eb115ba0e546159555c99df65f4800230b06509ed66e83d95d25ea827cc0553
- Size of remote file:
- 1.43 GB
- SHA256:
- 9e37523e550ce32461fc1e95cb82fb6349ebe9dedb70bf56dbe34c1967f782af
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.