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
Download transformer/model from danielvasic/hr_bertic_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 139 MB
-
https://huggingface.co/danielvasic/hr_bertic_pipeline/resolve/main/transformer/model
- Command line
-
hf download hf://danielvasic/hr_bertic_pipeline/transformer/model
-
curl -L -o model https://huggingface.co/danielvasic/hr_bertic_pipeline/resolve/main/transformer/model
139 MB
- Xet hash:
- a6d901c11fd1e3d50c89178b4fa38ef4c0c9737ffebd9d0f33cd4ee2d8a0d4ab
- Size of remote file:
- 139 MB
- SHA256:
- 827607a6340e0543ed5def5c6f9d9d06c8d9003c6b7e836c8dc2cc039521bcd0
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