Instructions to use brutusxu/t5-base-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brutusxu/t5-base-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("brutusxu/t5-base-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("brutusxu/t5-base-finetuned-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20e2fe57dbd7c0a5669c4278dcc4b6657989bfd4a94faa6f3af606f2d6f5cda6
- Size of remote file:
- 14.6 kB
- SHA256:
- 627dad3e69439177a334883f827dfeb132cad8d5ed65e566006a7ed9cb6ebf73
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