Instructions to use paulh27/cnn_aligned_smallT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/cnn_aligned_smallT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/cnn_aligned_smallT5") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/cnn_aligned_smallT5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 927a6394af43ea0cc267ec3ffb61d86c228dd66e402fb05a11627b6846cb8eaa
- Size of remote file:
- 242 MB
- SHA256:
- 667e304cde5ef3f70d0acb2ddca9e80643a4ee7b9bb6aaa6549a48d34fef9f40
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