Instructions to use reflex-project/it_trf_reflex_nrp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use reflex-project/it_trf_reflex_nrp with spaCy:
!pip install https://huggingface.co/reflex-project/it_trf_reflex_nrp/resolve/main/it_trf_reflex_nrp-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("it_trf_reflex_nrp") # Importing as module. import it_trf_reflex_nrp nlp = it_trf_reflex_nrp.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from reflex-project/it_trf_reflex_nrp: direct link, hf CLI and curl.
- Browser
- Download file 220 kB
-
https://huggingface.co/reflex-project/it_trf_reflex_nrp/resolve/main/ner/model
- Command line
-
hf download hf://reflex-project/it_trf_reflex_nrp/ner/model
-
curl -L -o model https://huggingface.co/reflex-project/it_trf_reflex_nrp/resolve/main/ner/model
220 kB
- Xet hash:
- e87f2a9d62c9b0b95cf5e6212e866fa359406d7846536eebba823d28b4e22c28
- Size of remote file:
- 220 kB
- SHA256:
- 5032987473186a0f62555d61538ee0907d892791e1a74a01d3119edd84723f28
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