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:
- c72d7527c9b5998b8f616378b459a674b18fd33177452afe1362d1c749479d4b
- Size of remote file:
- 242 MB
- SHA256:
- 2dbf6020cb4122ba5ec572c7b9f0bfc478dbbb1e5c7283ad2cea314d8d31e2b7
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