Instructions to use kssteven/T5-small-xsum-bild-aligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/T5-small-xsum-bild-aligned with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kssteven/T5-small-xsum-bild-aligned") model = AutoModelForSeq2SeqLM.from_pretrained("kssteven/T5-small-xsum-bild-aligned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d3352fb9d6cc6b4af5ec21e362eb0f7f237798efda9491637ede5e42740da51
- Size of remote file:
- 242 MB
- SHA256:
- a9432f7960eaaf31de97ddba0c5ba1283adbd2bcc65a2cb843a85f73fe4d8211
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.