Instructions to use MSLars/de_extr_summ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use MSLars/de_extr_summ with spaCy:
!pip install https://huggingface.co/MSLars/de_extr_summ/resolve/main/de_extr_summ-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_extr_summ") # Importing as module. import de_extr_summ nlp = de_extr_summ.load() - Notebooks
- Google Colab
- Kaggle
Download transformer/model from MSLars/de_extr_summ: direct link, hf CLI and curl.
- Browser
- Download file 437 MB
-
https://huggingface.co/MSLars/de_extr_summ/resolve/main/transformer/model
- Command line
-
hf download hf://MSLars/de_extr_summ/transformer/model
-
curl -L -o model https://huggingface.co/MSLars/de_extr_summ/resolve/main/transformer/model
437 MB
- Xet hash:
- e14e8b62030a1fe50aebcbd5de96dd4d19ce6236a3902eebaddbca588f30b040
- Size of remote file:
- 437 MB
- SHA256:
- ddc3a2d49bcb5d85da89df04896d903c5488f8b3646e48f1d60194613734fad3
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