Instructions to use danielvasic/hr_bertic_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use danielvasic/hr_bertic_pipeline with spaCy:
!pip install https://huggingface.co/danielvasic/hr_bertic_pipeline/resolve/main/hr_bertic_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("hr_bertic_pipeline") # Importing as module. import hr_bertic_pipeline nlp = hr_bertic_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab70d0cac113d3355a07ef109ad824eb3d450fb0570f60c7e2bf9871031bf0eb
- Size of remote file:
- 696 kB
- SHA256:
- 72f017c90fe6adabc8124490cf4acf1f827ac1889d2829b4785e0825a9b3ef42
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