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:
- 356343e3c4dbf83266d52498addf3f03cdddb093384eeb2896b63f90bd2f6ca8
- Size of remote file:
- 704 kB
- SHA256:
- c7885add82a497f58d164031c9260d35841904fdcc37052dfa6123ebefae2edc
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