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:
- 57b53b60a4ab191bcf6dcae8b060646e0942e41330f50153ba6b403fbf987df2
- Size of remote file:
- 2.08 MB
- SHA256:
- da5f113c73fc252c0edc4a82d3b4dff4dd1d9221605707b5cfd9a49c401913a4
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