Instructions to use Lysa/subheading_generator_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lysa/subheading_generator_en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Lysa/subheading_generator_en") model = AutoModelForSeq2SeqLM.from_pretrained("Lysa/subheading_generator_en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d17810ba1ac47021df936e7356e30eb2317e512f66b6de38563dfb5e90bcffb
- Size of remote file:
- 886 MB
- SHA256:
- 5d561f55c509d00165a933a21f9e0319367734ff2508b679f35641e08c9b5d1a
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