Instructions to use iulusoy/de_test_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use iulusoy/de_test_pipeline with spaCy:
!pip install https://huggingface.co/iulusoy/de_test_pipeline/resolve/main/de_test_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_test_pipeline") # Importing as module. import de_test_pipeline nlp = de_test_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 941b14f7ff4fc15b66421e90420f388976c0fd38c6f251361c83258de4398640
- Size of remote file:
- 6.01 MB
- SHA256:
- b99ecf76850631a771584a2e46efeea4e548993a9578280e71b7226f66b58c94
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.