Instructions to use kssteven/T5-large-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/T5-large-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kssteven/T5-large-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("kssteven/T5-large-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 835195a737aa7df569a1154e96c59d4ad1cb82b51568f5f61ab6896e37b2b8bb
- Size of remote file:
- 2.95 GB
- SHA256:
- 09a0afb97b72b7667691f053a1f5cf85396fc850b8b631ec9f8b18d8a3b21cfa
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