Instructions to use meandmichael8011/led_summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meandmichael8011/led_summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("meandmichael8011/led_summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("meandmichael8011/led_summarizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 869d3060426b93ff2720f06e4a19bdd62698e85558db53163131dc617a422f7c
- Size of remote file:
- 5.3 kB
- SHA256:
- 3903a7e492fd1a8edc3445ea4635d91f320f72b9d8a63e2f0517449ad7e61d07
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