Instructions to use iulusoy/en_test_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use iulusoy/en_test_pipeline with spaCy:
!pip install https://huggingface.co/iulusoy/en_test_pipeline/resolve/main/en_test_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_test_pipeline") # Importing as module. import en_test_pipeline nlp = en_test_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4aa0b266cba95c3e4d248f1cd527d7424ed9fd3e50035233c466934105f91afd
- Size of remote file:
- 6.01 MB
- SHA256:
- 79702d3416e8830b3e0dcb73ddb81a659d049118121184467a7694b3b9ecfa45
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.