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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62cfee2f6ea66a1bf44ddd401bd0fd11c7ac4099108463f2adeab1672c77a255
- Size of remote file:
- 242 MB
- SHA256:
- 813789896aec7f6c658220326685e056fd6095986678ffa8aefaacf8a1beb0ff
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