Instructions to use DIACDE/NER_LEIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use DIACDE/NER_LEIS with spaCy:
!pip install https://huggingface.co/DIACDE/NER_LEIS/resolve/main/NER_LEIS-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("NER_LEIS") # Importing as module. import NER_LEIS nlp = NER_LEIS.load() - Notebooks
- Google Colab
- Kaggle
Download modelo_leis/tok2vec/model from DIACDE/NER_LEIS: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/DIACDE/NER_LEIS/resolve/main/modelo_leis/tok2vec/model
- Command line
-
hf download hf://DIACDE/NER_LEIS/modelo_leis/tok2vec/model
-
curl -L -o model https://huggingface.co/DIACDE/NER_LEIS/resolve/main/modelo_leis/tok2vec/model
34.4 MB
- Xet hash:
- 7b07ce307371f3531ed5ada22a6c57764ea80c865796269799a6c08c30c05e4f
- Size of remote file:
- 34.4 MB
- SHA256:
- bfe8c25035f94b77f375b9479dab096449c0cc88fb2a2a768bce4dc25be6fd71
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