Instructions to use riturralde/es_faculty_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use riturralde/es_faculty_ner with spaCy:
!pip install https://huggingface.co/riturralde/es_faculty_ner/resolve/main/es_faculty_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_faculty_ner") # Importing as module. import es_faculty_ner nlp = es_faculty_ner.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from riturralde/es_faculty_ner: direct link, hf CLI and curl.
- Browser
- Download file 128 kB
-
https://huggingface.co/riturralde/es_faculty_ner/resolve/main/ner/model
- Command line
-
hf download hf://riturralde/es_faculty_ner/ner/model
-
curl -L -o model https://huggingface.co/riturralde/es_faculty_ner/resolve/main/ner/model
128 kB
- Xet hash:
- 1e72afeb156d26e12db62ece465aafc60e21e992f55f76f3e9c36f8acfdb74df
- Size of remote file:
- 128 kB
- SHA256:
- 5c7ce35720ea57e44d898f6ead5be4525ec0adf7f4e6489a24bb657a4761c136
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