Instructions to use alshelt/ctrlsum-led-base-cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alshelt/ctrlsum-led-base-cnndm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alshelt/ctrlsum-led-base-cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("alshelt/ctrlsum-led-base-cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 430634219ea1a5d28e8906a7881443beb21719fc736fa2b794ceeb8cd5b8b710
- Size of remote file:
- 648 MB
- SHA256:
- 277f65eef6470f6b7cb6546b60d470ca361196eed4a6d4cc08851a514ed3a230
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