Instructions to use paulh27/cnn_aligned_smallT5_cont2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/cnn_aligned_smallT5_cont2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/cnn_aligned_smallT5_cont2") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/cnn_aligned_smallT5_cont2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b30c8595e36379c83f8f7e64385c55223bb6805cf0a073af48caa62b42707e07
- Size of remote file:
- 242 MB
- SHA256:
- 9a121196b7c435e0527dab20ff3b799bd3f1342873708e651075cba3b8344ea7
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