Instructions to use Lysa/subheading_generator_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lysa/subheading_generator_nl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Lysa/subheading_generator_nl") model = AutoModelForSeq2SeqLM.from_pretrained("Lysa/subheading_generator_nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 377a1e8948365ebc3e2dda048ab90511d26464c386220baf43104680996d180a
- Size of remote file:
- 2.44 GB
- SHA256:
- 7620da2177e1578d7c02c6bf4b3745ec7826ab7df89b470fabc60cee6f6af908
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