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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38e95e184e1b470bd25432b6d92eb45df620fc29b6d4c49a25e0e526c4501b4c
- Size of remote file:
- 5.11 kB
- SHA256:
- e557b53c74e1027612086dc0ee080c222994addac2e26e72314fc8b9f8658e14
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