Instructions to use google/long-t5-tglobal-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/long-t5-tglobal-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/long-t5-tglobal-xl") model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-tglobal-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0c468ceb57e811783eb4ff7b10366ff75676e9e81d75d2f48d3a87690ff4720
- Size of remote file:
- 9.45 GB
- SHA256:
- 19899ca46faf3fc9d97c6b2a72bde7b090155c7e10395182515f2b3bea488f9a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.