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:
- cb743a90fe466e00e2c2c1d751c0fb7db54f784d6dddfba1bbe27bbe8df671f9
- Size of remote file:
- 3.42 MB
- SHA256:
- 00659c10adf647fdc5edc8d1cab3e1d9d307f41b42a85ee2d4ed5dc8e2b3e6ea
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