Instructions to use Ophusdev/it_spacy_ner_trf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Ophusdev/it_spacy_ner_trf with spaCy:
!pip install https://huggingface.co/Ophusdev/it_spacy_ner_trf/resolve/main/it_spacy_ner_trf-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("it_spacy_ner_trf") # Importing as module. import it_spacy_ner_trf nlp = it_spacy_ner_trf.load() - Notebooks
- Google Colab
- Kaggle
Download token_classification_transformer/cfg from Ophusdev/it_spacy_ner_trf: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
-
https://huggingface.co/Ophusdev/it_spacy_ner_trf/resolve/main/token_classification_transformer/cfg
- Command line
-
hf download hf://Ophusdev/it_spacy_ner_trf/token_classification_transformer/cfg
-
curl -L -o cfg https://huggingface.co/Ophusdev/it_spacy_ner_trf/resolve/main/token_classification_transformer/cfg
28 Bytes
| { | |
| "max_batch_items":4096 | |
| } |