Instructions to use paulh27/xsum_aligned_smallT5_cont1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/xsum_aligned_smallT5_cont1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/xsum_aligned_smallT5_cont1") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/xsum_aligned_smallT5_cont1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68c7c27eedbef3b4cf19434d3b9d003a3bf08d4f3807c87a752f7b07e021eb55
- Size of remote file:
- 242 MB
- SHA256:
- 90c340c3c93f413372eb48f87ad6e4fd08f0b1b23016aea05be56e0f4e4fc70b
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