Instructions to use andreaparker/t5-small-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreaparker/t5-small-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("andreaparker/t5-small-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("andreaparker/t5-small-finetuned-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd804f9c798e4ee48a95c6ce9a4c123ac3e4b8c3a61725a6f65f6c960dd2bacf
- Size of remote file:
- 242 MB
- SHA256:
- 7e9a473281ac3fb6ac1e6d5f78743cc024f6bf9612ac151091194ac54c81bcc1
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