Instructions to use paulh27/cnn_aligned_smallT5_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/cnn_aligned_smallT5_full with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/cnn_aligned_smallT5_full") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/cnn_aligned_smallT5_full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffc5c8c658809f2d41658a47c77d354d943c9e9d0252801e5b9c81e10e42d6ef
- Size of remote file:
- 5.11 kB
- SHA256:
- 21bdead373352e2a5f7d9201d238fc3d93d26631827f1c55c3011185710c8271
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