Instructions to use danielvasic/hr_hroberta_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use danielvasic/hr_hroberta_pipeline with spaCy:
!pip install https://huggingface.co/danielvasic/hr_hroberta_pipeline/resolve/main/hr_hroberta_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("hr_hroberta_pipeline") # Importing as module. import hr_hroberta_pipeline nlp = hr_hroberta_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ed7a80c15304f6962b0d8a771ec19c5b423e935358289ab1ae1bcb71f9c389b
- Size of remote file:
- 2.1 MB
- SHA256:
- eee46ccd5528686bd21dbcf95437a03cac9731168fa3f8f87b6f5c4dacbba019
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