Instructions to use KETI-NLP/long-ke-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-NLP/long-ke-t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-NLP/long-ke-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-NLP/long-ke-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eec59542369e2989f6a0a95b8913521386ec2769f44bb5415a604eecb90a09da
- Size of remote file:
- 439 MB
- SHA256:
- f938506711c823c0e37f68c5225fa042a150c69bf253334709267c9454b2fc35
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.