Instructions to use Elizaveta/2t5-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elizaveta/2t5-xxl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Elizaveta/2t5-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("Elizaveta/2t5-xxl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 292d3e16939d6ae6079a976cbec81679ab2983730b099995bf8bd299a7c60d01
- Size of remote file:
- 45.2 GB
- SHA256:
- 88add3983bf429fbc5f705e09fa9a5b83e318d352d089a77acaec7d6d24d3e8f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.