Instructions to use paulh27/cnn_aligned_smallT5_cont3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/cnn_aligned_smallT5_cont3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/cnn_aligned_smallT5_cont3") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/cnn_aligned_smallT5_cont3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83cebe0ce3412f0f4a74da5dde839e78289bf143f7151ed01c94ed1507ab0046
- Size of remote file:
- 5.11 kB
- SHA256:
- 8d4e6e6ca445c4fbd80a87a0636a89147a5dbf6e6cabe8ff0ed6266e0d1b073c
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