Instructions to use sdocio/es_spacy_ner_cds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use sdocio/es_spacy_ner_cds with spaCy:
!pip install https://huggingface.co/sdocio/es_spacy_ner_cds/resolve/main/es_spacy_ner_cds-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_spacy_ner_cds") # Importing as module. import es_spacy_ner_cds nlp = es_spacy_ner_cds.load() - Notebooks
- Google Colab
- Kaggle
Download tok2vec/model from sdocio/es_spacy_ner_cds: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/sdocio/es_spacy_ner_cds/resolve/main/tok2vec/model
- Command line
-
hf download hf://sdocio/es_spacy_ner_cds/tok2vec/model
-
curl -L -o model https://huggingface.co/sdocio/es_spacy_ner_cds/resolve/main/tok2vec/model
34.4 MB
- Xet hash:
- 4cd8cfd869a1b94eb0d1f992c468f55767b40e3159f62af4890adde1ea5fe606
- Size of remote file:
- 34.4 MB
- SHA256:
- 6a3d7e4fe3ed4bcce10b4fba52b5e4fbd0da65497e78e873569c4d6e6fed2b64
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