Instructions to use paulh27/cnn_aligned_smallT5_cont1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/cnn_aligned_smallT5_cont1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/cnn_aligned_smallT5_cont1") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/cnn_aligned_smallT5_cont1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 603701c295114f24e5ee004bd55c2f74d37cbb5144d711e60230abc2215c5840
- Size of remote file:
- 5.11 kB
- SHA256:
- 636572da225b3dbf94ad8fbe5f612f43fdbce4d27f0dee9ad4701296af54b1f4
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